From 804b2e58f81000f883f75d79a66676ce545fbdc8 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 31 Mar 2019 16:02:40 +0200 Subject: rebuild --- site/public/datasets/50_people_one_question/index.html | 14 ++++++++------ site/public/datasets/brainwash/index.html | 16 ++++++++++------ site/public/datasets/celeba/index.html | 14 ++++++++------ site/public/datasets/cofw/index.html | 16 ++++++++++------ site/public/datasets/duke_mtmc/index.html | 18 ++++++++++++------ site/public/datasets/hrt_transgender/index.html | 16 ++++++++++------ site/public/datasets/lfw/index.html | 16 ++++++++++------ site/public/datasets/market_1501/index.html | 14 ++++++++------ site/public/datasets/pipa/index.html | 14 ++++++++------ site/public/datasets/uccs/index.html | 18 +++++++++++------- site/public/datasets/viper/index.html | 16 ++++++++++------ 11 files changed, 105 insertions(+), 67 deletions(-) (limited to 'site/public/datasets') diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index bded7fbd..9ed6d11e 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -56,15 +56,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of 50 People One Question Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] 50 People One Question Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -83,7 +85,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 41484257..fb08c168 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -43,6 +43,8 @@
+

@@ -78,15 +80,17 @@

-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of Brainwash Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] Brainwash Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

Add more analysis here

@@ -106,7 +110,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index 09347f10..a0f0c683 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -56,15 +56,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of CelebA Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] CelebA Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -83,7 +85,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index eac1f7a6..640eab52 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -66,15 +66,17 @@ To increase the number of training images, and since COFW has the exact same la
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of COFW Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] COFW Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -93,7 +95,7 @@ To increase the number of training images, and since COFW has the exact same la and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

@@ -108,6 +110,8 @@ To increase the number of training images, and since COFW has the exact same la
+

TODO

- replace graphic

diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 299331d7..160888e2 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -54,15 +54,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of Duke MTMC Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] Duke MTMC Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

Who used Duke MTMC Dataset?

@@ -75,6 +77,8 @@
+

@@ -102,12 +106,14 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

Research Notes

+

@@ -74,15 +76,17 @@

-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of HRT Transgender. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] HRT Transgender ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -101,7 +105,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index b4923877..dd94c8c5 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -69,15 +69,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of LFW. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] LFW ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

Who used LFW?

@@ -90,6 +92,8 @@
+

@@ -117,7 +121,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index a80c23fa..b3170925 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -54,15 +54,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of Market 1501. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] Market 1501 ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -81,7 +83,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 62754070..43b08f17 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -54,15 +54,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of PIPA Dataset. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] PIPA Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -81,7 +83,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 08000c6e..5cea1c6b 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -54,15 +54,17 @@
-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of UCCS. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] UCCS ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

Who used UCCS?

@@ -75,6 +77,8 @@
+

@@ -102,11 +106,11 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

-

Research Notes

+
Bounding box visualization
Bounding box visualization

Research Notes

The original Sapkota and Boult dataset, from which UCCS is derived, received funding from1:

+

@@ -77,15 +79,17 @@

-
Academic
-
Industry
-
Government
- Data is compiled from Semantic Scholar and has been manually verified to show usage of VIPeR. +

- Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. + [section under development] VIPeR ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.

@@ -104,7 +108,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add button/link to download CSV + Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org)

-- cgit v1.2.3-70-g09d2 From 0bede27de3bcc0c7f03d16c7607a0ae693daebc7 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 10:23:29 +0200 Subject: citations table in react --- client/applet.js | 7 +- client/index.js | 4 +- client/table/citations.table.js | 53 ++++++++++++ client/table/file.table.js | 59 +++++++++++++ client/table/index.js | 10 +++ client/tables.js | 96 --------------------- package-lock.json | 90 +++++++++++++++++++- package.json | 1 + site/includes/citations.html | 2 +- site/public/datasets/index.html | 12 +++ site/public/datasets/msceleb/index.html | 143 ++++++++++++++++++++++++++++++++ 11 files changed, 373 insertions(+), 104 deletions(-) create mode 100644 client/table/citations.table.js create mode 100644 client/table/file.table.js create mode 100644 client/table/index.js delete mode 100644 client/tables.js create mode 100644 site/public/datasets/msceleb/index.html (limited to 'site/public/datasets') diff --git a/client/applet.js b/client/applet.js index 21e1e4fa..db95168a 100644 --- a/client/applet.js +++ b/client/applet.js @@ -4,11 +4,12 @@ import { Container as FaceSearchContainer } from './faceSearch' import { Container as FaceAnalysisContainer } from './faceAnalysis' import { Container as NameSearchContainer } from './nameSearch' import { Container as DatasetListContainer } from './datasetList' +import { CitationsTable, FileTable } from './table' import { CountriesByYear, PieCharts } from './chart' export default class Applet extends Component { render() { - // console.log(this.props) + // console.log(this.props.payload.cmd) switch (this.props.payload.cmd) { case 'face_analysis': return @@ -22,6 +23,10 @@ export default class Applet extends Component { return case 'piechart': return + case 'citations': + return + case 'load_file': + return default: return 
{'Megapixels'}
} diff --git a/client/index.js b/client/index.js index 5a7315b5..668aebfb 100644 --- a/client/index.js +++ b/client/index.js @@ -6,7 +6,6 @@ import { Provider } from 'react-redux' import { toArray } from './util' import Applet from './applet' import { store } from './store' -import appendTable from './tables' import appendMap from './map' function appendReactApplet(el, payload) { @@ -33,7 +32,8 @@ function appendApplets(applets) { case 'citations': case 'load_file': el.parentNode.classList.add('wide') - appendTable(el, payload) + appendReactApplet(el, payload) + el.classList.add('loaded') break case 'map': el.parentNode.classList.add('wide') diff --git a/client/table/citations.table.js b/client/table/citations.table.js new file mode 100644 index 00000000..1ec2d10c --- /dev/null +++ b/client/table/citations.table.js @@ -0,0 +1,53 @@ +import React, { Component } from 'react' +import { bindActionCreators } from 'redux' +import { connect } from 'react-redux' +import { ReactTabulator } from 'react-tabulator' +import { Loader } from '../common' +import { toArray, toTuples } from '../util' + +export const citationsColumns = [ + { title: 'Title', field: 'title', sorter: 'string' }, + { title: 'Institution', field: 'institution', sorter: 'string' }, + { title: 'Country', field: 'country', sorter: 'string', width: 140 }, + { title: 'Year', field: 'year', sorter: 'number', width: 70 }, + { title: 'PDF', field: 'pdf_text', formatter: 'link', + formatterParams: { target: "_blank", urlField: 'pdf_link', }, + sorter: 'string', width: 100 }, +] + +class CitationsTable extends Component { + render() { + const { payload } = this.props + const { paper, citations } = payload.data + console.log(this.props) + if (!citations.length) return + + const formattedCitations = citations.map(citation => ({ + title: citation.title, + institution: citation.addresses[0].name, + country: citation.addresses[0].country, + year: citation.year, + pdf: (citation.pdf && citation.pdf.length) + ? citation.pdf[0] + : (citation.doi && citation.doi.length) + ? citation.doi[0] + : "", + })) + + console.log(formattedCitations) + + return ( + + ) + } +} + +export default CitationsTable diff --git a/client/table/file.table.js b/client/table/file.table.js new file mode 100644 index 00000000..a7e25bbf --- /dev/null +++ b/client/table/file.table.js @@ -0,0 +1,59 @@ +import React, { Component } from 'react' +import { bindActionCreators } from 'redux' +import { connect } from 'react-redux' +import { toArray, toTuples } from '../util' + +import { Loader } from '../common' + +import csv from 'parse-csv' + +class FileTable extends Component { + state = { + data: [] + } + + componentDidMount() { + fetch(payload.url, { mode: 'cors' }) + .then(r => r.text()) + .then(text => { + try { + const data = csv.toJSON(text, { headers: { included: true } }) + this.setState({ data }) + } catch (e) { + console.error("error making json:", payload.url) + console.error(e) + } + }) + } + + getColumns(payload) { + let { cmd, url, fields } = payload + return ((fields && fields.length) ? fields[0] : '').split(', ').map(field => { + switch (field) { + default: + return { title: field, field: field.toLowerCase(), sorter: 'string' } + } + }) + } + + render() { + const { payload } = this.props + const { paper, citations } = payload.data + const columns = getColumns(payload) + if (!this.state.data.length) { + return + } + return ( + + ) + } +} +export default FileTable diff --git a/client/table/index.js b/client/table/index.js new file mode 100644 index 00000000..43db7dbb --- /dev/null +++ b/client/table/index.js @@ -0,0 +1,10 @@ +import 'react-tabulator/lib/styles.css' +import 'react-tabulator/lib/css/tabulator.min.css' + +import CitationsTable from './citations.table' +import FileTable from './file.table' + +export { + CitationsTable, + FileTable, +} \ No newline at end of file diff --git a/client/tables.js b/client/tables.js deleted file mode 100644 index 3b53b5db..00000000 --- a/client/tables.js +++ /dev/null @@ -1,96 +0,0 @@ -import Tabulator from 'tabulator-tables' -import csv from 'parse-csv' - -const datasetColumns = [ - { title: 'Title', field: 'title', sorter: 'string' }, - { title: 'Images', field: 'images', sorter: 'number' }, - { title: 'People', field: 'people', sorter: 'number' }, - { title: 'Year', field: 'year', sorter: 'number' }, - { title: 'Citations', field: 'citations', sorter: 'number' }, - { title: 'Influenced', field: 'influenced', sorter: 'number' }, - // { title: 'Origin', field: 'origin', sorter: 'string' }, -] -const citationsColumns = [ - { title: 'Title', field: 'title', sorter: 'string' }, - { title: 'Institution', field: 'institution', sorter: 'string' }, - { title: 'Country', field: 'country', sorter: 'string', width: 140 }, - { title: 'Year', field: 'year', sorter: 'number', width: 70 }, - { title: 'PDF', field: 'pdf', formatter: 'link', - formatterParams: { target: "_blank", urlField: 'pdf', }, - sorter: 'string', width: 100 }, -] - -function getColumns(payload) { - let { cmd, url, fields } = payload - if (cmd === 'citations') { - return citationsColumns - } - if (url && url.match('datasets.csv')) { - return datasetColumns - } - return ((fields && fields.length) ? fields[0] : '').split(', ').map(field => { - switch (field) { - default: - return { title: field, field: field.toLowerCase(), sorter: 'string' } - } - }) -} - -function getCitations(dataset) { - // console.log(dataset.citations) - // console.log(dataset.citations.map(d => [d.pdf, d.doi])) - return dataset.citations.map(citation => ({ - title: citation.title, - institution: citation.addresses[0].name, - country: citation.addresses[0].country, - year: citation.year, - pdf: (citation.pdf && citation.pdf.length) - ? citation.pdf[0] - : (citation.doi && citation.doi.length) - ? citation.doi[0] - : "", - })) -} - -export default function append(el, payload) { - const columns = getColumns(payload) - // console.log(columns) - const table = new Tabulator(el, { - height: '311px', - layout: 'fitColumns', - placeholder: 'No Data Set', - columns, - }) - // let path = payload.opt - // console.log(path, columns) - - if (payload.cmd === 'citations') { - let { data } = payload - if (!data) return null - const citations = getCitations(data) - // console.log(citations) - table.setData(citations) - el.classList.add('loaded') - } else { - fetch(payload.url, { mode: 'cors' }) - .then(r => r.text()) - .then(text => { - try { - // console.log(text) - const data = csv.toJSON(text, { headers: { included: true } }) - // console.log(data) - table.setData(data) - el.classList.add('loaded') - } catch (e) { - - console.error("error making json:", payload.url) - console.error(e) - // console.log(text) - } - }) - } - - // if (fields && fields.length > 1 && fields[1].indexOf('filter')) { - // const filter = fields[1].split(' ') - // } -} diff --git a/package-lock.json b/package-lock.json index 6d36e3ff..4e9d6fac 100644 --- a/package-lock.json +++ b/package-lock.json @@ -216,6 +216,28 @@ "resolved": "https://registry.npmjs.org/@types/node/-/node-8.10.38.tgz", "integrity": "sha512-EibsnbJerd0hBFaDjJStFrVbVBAtOy4dgL8zZFw0uOvPqzBAX59Ci8cgjg3+RgJIWhsB5A4c+pi+D4P9tQQh/A==" }, + "@types/prop-types": { + "version": "15.7.0", + "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.0.tgz", + "integrity": "sha512-eItQyV43bj4rR3JPV0Skpl1SncRCdziTEK9/v8VwXmV6d/qOUO8/EuWeHBbCZcsfSHfzI5UyMJLCSXtxxznyZg==" + }, + "@types/react": { + "version": "16.8.10", + "resolved": "https://registry.npmjs.org/@types/react/-/react-16.8.10.tgz", + "integrity": "sha512-7bUQeZKP4XZH/aB4i7k1i5yuwymDu/hnLMhD9NjVZvQQH7ZUgRN3d6iu8YXzx4sN/tNr0bj8jgguk8hhObzGvA==", + "requires": { + "@types/prop-types": "*", + "csstype": "^2.2.0" + } + }, + "@types/react-tag-autocomplete": { + "version": "5.6.0", + "resolved": "https://registry.npmjs.org/@types/react-tag-autocomplete/-/react-tag-autocomplete-5.6.0.tgz", + "integrity": "sha512-EsUrbpKW5agXs/NbMUQRgwtZInQbUIIPBXiUz+XcJeUP7U6BRCWjw96sQmsEPRUwO0CdPfQEd82zwpCIGEr4Ew==", + "requires": { + "@types/react": "*" + } + }, "accepts": { "version": "1.3.5", "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.5.tgz", @@ -2249,6 +2271,11 @@ "integrity": "sha1-yBSQPkViM3GgR3tAEJqq++6t27Q=", "dev": true }, + "csstype": { + "version": "2.6.3", + "resolved": "https://registry.npmjs.org/csstype/-/csstype-2.6.3.tgz", + "integrity": "sha512-rINUZXOkcBmoHWEyu7JdHu5JMzkGRoMX4ov9830WNgxf5UYxcBUO0QTKAqeJ5EZfSdlrcJYkC8WwfVW7JYi4yg==" + }, "csv-parse": { "version": "4.2.0", "resolved": "https://registry.npmjs.org/csv-parse/-/csv-parse-4.2.0.tgz", @@ -4647,6 +4674,11 @@ "wbuf": "^1.1.0" } }, + "html-attributes": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/html-attributes/-/html-attributes-1.1.0.tgz", + "integrity": "sha1-ggJ6T6x6YHDqbBjMOIauoY1t6gk=" + }, "html-entities": { "version": "1.2.1", "resolved": "https://registry.npmjs.org/html-entities/-/html-entities-1.2.1.tgz", @@ -5594,9 +5626,9 @@ "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==" }, "js-yaml": { - "version": "3.12.0", - "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.12.0.tgz", - "integrity": "sha512-PIt2cnwmPfL4hKNwqeiuz4bKfnzHTBv6HyVgjahA6mPLwPDzjDWrplJBMjHUFxku/N3FlmrbyPclad+I+4mJ3A==", + "version": "3.13.0", + "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.13.0.tgz", + "integrity": "sha512-pZZoSxcCYco+DIKBTimr67J6Hy+EYGZDY/HCWC+iAEA9h1ByhMXAIVUXMcMFpOCxQ/xjXmPI2MkDL5HRm5eFrQ==", "dev": true, "requires": { "argparse": "^1.0.7", @@ -5781,6 +5813,11 @@ "resolved": "https://registry.npmjs.org/lodash.get/-/lodash.get-4.4.2.tgz", "integrity": "sha1-LRd/ZS+jHpObRDjVNBSZ36OCXpk=" }, + "lodash.isplainobject": { + "version": "4.0.6", + "resolved": "https://registry.npmjs.org/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz", + "integrity": "sha1-fFJqUtibRcRcxpC4gWO+BJf1UMs=" + }, "lodash.merge": { "version": "4.6.1", "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.1.tgz", @@ -6710,6 +6747,16 @@ "sha.js": "^2.4.8" } }, + "pick-react-known-prop": { + "version": "0.1.5", + "resolved": "https://registry.npmjs.org/pick-react-known-prop/-/pick-react-known-prop-0.1.5.tgz", + "integrity": "sha512-SnDf64AVdvqoAFpHeZUKT9kdn40Ellj84CPALRxYWqNJ6r6f44eAAT+Jtkb0Suhiw7yg5BdOFAQ25OJnjG+afw==", + "requires": { + "html-attributes": "^1.1.0", + "lodash.isplainobject": "^4.0.6", + "svg-attributes": "^1.0.0" + } + }, "pify": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/pify/-/pify-3.0.0.tgz", @@ -7274,6 +7321,36 @@ "spin.js": "^2.0.1" } }, + "react-tabulator": { + "version": "0.9.1", + "resolved": "https://registry.npmjs.org/react-tabulator/-/react-tabulator-0.9.1.tgz", + "integrity": "sha512-KLkO17TZbGKzwaCPD8c84cG94OkSpU0zyvlhOleKJELQWcHEL99+63DEamEaXOsguDfxM474lxu3K+jqG2bW/Q==", + "requires": { + "@types/react-tag-autocomplete": "^5.6.0", + "date-fns": "v2.0.0-alpha.25", + "dotenv": "^6.1.0", + "pick-react-known-prop": "^0.1.5", + "react-tag-autocomplete": "^5.7.1", + "tabulator-tables": "^4.2.3" + }, + "dependencies": { + "date-fns": { + "version": "2.0.0-alpha.25", + "resolved": "https://registry.npmjs.org/date-fns/-/date-fns-2.0.0-alpha.25.tgz", + "integrity": "sha512-iQzJkHF0L4wah9Ae9PkvwemwFz6qmRLuNZcghmvf2t+ptLs1qXzONLiGtjmPQzL6+JpC01JjlTopY2AEy4NFAg==" + }, + "tabulator-tables": { + "version": "4.2.3", + "resolved": "https://registry.npmjs.org/tabulator-tables/-/tabulator-tables-4.2.3.tgz", + "integrity": "sha512-vMQ/8/HSKzOdn1zd9uv7EmnBnMTlX8JMhfxAxEUkM12qYiqhapWp/iN2ErtDX2cVi+4CUaEn61qydSFJyKjdYA==" + } + } + }, + "react-tag-autocomplete": { + "version": "5.8.2", + "resolved": "https://registry.npmjs.org/react-tag-autocomplete/-/react-tag-autocomplete-5.8.2.tgz", + "integrity": "sha512-GkOQrSLjvWo98IeqRuGgc77zaxSMyMjy+b2Rc+m9jMKTWopF9h5Lf2F/X1oK9hcnUCeUmJ5QVpc/dx9MgOA2Iw==" + }, "read-pkg": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/read-pkg/-/read-pkg-2.0.0.tgz", @@ -8546,7 +8623,7 @@ }, "sprintf-js": { "version": "1.0.3", - "resolved": "http://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz", + "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz", "integrity": "sha1-BOaSb2YolTVPPdAVIDYzuFcpfiw=", "dev": true }, @@ -8722,6 +8799,11 @@ "integrity": "sha1-U10EXOa2Nj+kARcIRimZXp3zJMc=", "dev": true }, + "svg-attributes": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/svg-attributes/-/svg-attributes-1.0.0.tgz", + "integrity": "sha1-tcWWjzYke32+OFMgfyqcaK2Aa/w=" + }, "svgtodatauri": { "version": "0.0.0", "resolved": "https://registry.npmjs.org/svgtodatauri/-/svgtodatauri-0.0.0.tgz", diff --git a/package.json b/package.json index 4cd2f10d..6238e7e3 100644 --- a/package.json +++ b/package.json @@ -55,6 +55,7 @@ "react-router": "^4.3.1", "react-router-dom": "^4.3.1", "react-spin": "^0.6.2", + "react-tabulator": "^0.9.1", "redux": "^4.0.0", "redux-thunk": "^2.3.0", "snapsvg": "^0.5.1", diff --git a/site/includes/citations.html b/site/includes/citations.html index 058a1834..d29812df 100644 --- a/site/includes/citations.html +++ b/site/includes/citations.html @@ -6,7 +6,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index f618e86b..03b38f8a 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -85,6 +85,18 @@ + +
+ MS Celeb +
+
2016
+
face recognition
+
1,000,000 images
+
100,000
+
+
+ +
People in Photo Albums diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html new file mode 100644 index 00000000..8ebfe1a4 --- /dev/null +++ b/site/public/datasets/msceleb/index.html @@ -0,0 +1,143 @@ + + + + MegaPixels + + + + + + + + + + + + +
+ + +
MegaPixels
+ +
+ Datasets + About +
+
+
+ +
MS Celeb is a dataset of web images used for training and evaluating face recognition algorithms
The MS Celeb dataset includes over 10,000,000 images and 93,000 identities of semi-public figures collected using the Bing search engine +
Published
TBD
Images
TBD
Faces
TBD
Created by
TBD

Microsoft Celeb Dataset (MS Celeb)

+

(PAGE UNDER DEVELOPMENT)

+

At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.

+

Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

+
+

Who used MsCeleb?

+ +

+ This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. These charts show at most the top 10 countries. +

+ +
+ +
+ +
+
+

+ These pie charts show overall totals based on country and institution type. +

+ +
+ +
+
+
+ +

Information Supply Chain

+ +

+ To understand how MsCeleb has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast +

+ +
+ +
+
+
+ +
+
    +
  • Academic
    • +
  • Industry
    • +
  • Government / Military
    • +
  • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    • +
+
+ +
+

+ [section under development] MsCeleb ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. +

+

Add more analysis here

+
+ + +
+
+
+
+ +

Supplementary Information

+
+ +

Citations

+

+ Citations were collected from Semantic Scholar, a website which aggregates + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. +

+

+ Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) +

+ +
+

Additional Information

+ +

  • "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.

    +

  • Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.

    +

  • Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.

    +
+ +
+ + + + + \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 0a9a618925f3de31c7e8a45b2f3f047000d74c37 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 10:26:52 +0200 Subject: rebuild --- site/public/datasets/50_people_one_question/index.html | 2 +- site/public/datasets/brainwash/index.html | 2 +- site/public/datasets/celeba/index.html | 2 +- site/public/datasets/cofw/index.html | 2 +- site/public/datasets/duke_mtmc/index.html | 2 +- site/public/datasets/hrt_transgender/index.html | 2 +- site/public/datasets/lfw/index.html | 2 +- site/public/datasets/market_1501/index.html | 2 +- site/public/datasets/msceleb/index.html | 2 +- site/public/datasets/pipa/index.html | 2 +- site/public/datasets/uccs/index.html | 2 +- site/public/datasets/viper/index.html | 2 +- 12 files changed, 12 insertions(+), 12 deletions(-) (limited to 'site/public/datasets') diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 9ed6d11e..0a9e8297 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -85,7 +85,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index fb08c168..46cefbe7 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -110,7 +110,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index a0f0c683..ca04062d 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -85,7 +85,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 640eab52..02d08278 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -95,7 +95,7 @@ To increase the number of training images, and since COFW has the exact same la and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 160888e2..27a17c94 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -106,7 +106,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 8b870128..63647f9a 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -105,7 +105,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index dd94c8c5..532abc56 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -121,7 +121,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index b3170925..c2569b81 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -83,7 +83,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 8ebfe1a4..e2c3c372 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -109,7 +109,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 43b08f17..dddf67bd 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -83,7 +83,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 5cea1c6b..c1b014e5 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -106,7 +106,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index f30caeab..f8725362 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -108,7 +108,7 @@ and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms.

- Add [button/link] to download CSV. Add search input field to filter. Expand number of rows to 10. Reduce URL text to show only the domain (ie https://arxiv.org/pdf/123456 --> arxiv.org) + Add [button/link] to download CSV. Add search input field to filter.

-- cgit v1.2.3-70-g09d2 From f98046ae89f42082ccbd3126533ba548d734aa78 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 13:21:27 +0200 Subject: copy --- client/table/file.table.js | 1 + site/includes/citations.html | 2 +- site/public/datasets/50_people_one_question/index.html | 2 +- site/public/datasets/brainwash/index.html | 2 +- site/public/datasets/celeba/index.html | 2 +- site/public/datasets/cofw/index.html | 2 +- site/public/datasets/duke_mtmc/index.html | 2 +- site/public/datasets/hrt_transgender/index.html | 2 +- site/public/datasets/lfw/index.html | 2 +- site/public/datasets/market_1501/index.html | 2 +- site/public/datasets/msceleb/index.html | 2 +- site/public/datasets/pipa/index.html | 2 +- site/public/datasets/uccs/index.html | 2 +- site/public/datasets/viper/index.html | 2 +- 14 files changed, 14 insertions(+), 13 deletions(-) (limited to 'site/public/datasets') diff --git a/client/table/file.table.js b/client/table/file.table.js index a7e25bbf..92f5cf72 100644 --- a/client/table/file.table.js +++ b/client/table/file.table.js @@ -13,6 +13,7 @@ class FileTable extends Component { } componentDidMount() { + console.log(payload.url) fetch(payload.url, { mode: 'cors' }) .then(r => r.text()) .then(text => { diff --git a/site/includes/citations.html b/site/includes/citations.html index d29812df..ebd37d61 100644 --- a/site/includes/citations.html +++ b/site/includes/citations.html @@ -3,7 +3,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 0a9e8297..988ce2dc 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -82,7 +82,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 46cefbe7..20f2f096 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -107,7 +107,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index ca04062d..07522561 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -82,7 +82,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 02d08278..99d4a9ef 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -92,7 +92,7 @@ To increase the number of training images, and since COFW has the exact same la

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 27a17c94..431cf7ff 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -103,7 +103,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 63647f9a..7e10c2fb 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -102,7 +102,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 532abc56..9cbf2e11 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -118,7 +118,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index c2569b81..b7e68c47 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -80,7 +80,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index e2c3c372..50788aad 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -106,7 +106,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index dddf67bd..09baca99 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -80,7 +80,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index c1b014e5..ca106022 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -103,7 +103,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index f8725362..f78d1c04 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -105,7 +105,7 @@

Citations

Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

Add [button/link] to download CSV. Add search input field to filter. -- cgit v1.2.3-70-g09d2 From 2d8b7dd6ea6ccb0293c8839898cf7a1246dc0eb4 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 14:25:06 +0200 Subject: rebuild --- megapixels/app/site/builder.py | 2 +- megapixels/app/site/loader.py | 3 ++ site/content/pages/datasets/uccs/index.md | 1 + site/includes/map.html | 2 +- site/public/datasets/index.html | 2 +- .../research/01_from_1_to_100_pixels/index.html | 32 ++++++++++++++++++++++ .../research/02_what_computers_can_see/index.html | 19 +++++++++++++ site/public/research/index.html | 18 ++++++++++-- 8 files changed, 74 insertions(+), 5 deletions(-) (limited to 'site/public/datasets') diff --git a/megapixels/app/site/builder.py b/megapixels/app/site/builder.py index 603d4788..55a85b0f 100644 --- a/megapixels/app/site/builder.py +++ b/megapixels/app/site/builder.py @@ -57,7 +57,7 @@ def build_page(fn, research_posts, datasets): s3.sync_directory(dirname, s3_dir, metadata) content = parser.parse_markdown(metadata, sections, s3_path, skip_h1=skip_h1) - + html = template.render( metadata=metadata, content=content, diff --git a/megapixels/app/site/loader.py b/megapixels/app/site/loader.py index a544333b..d150942c 100644 --- a/megapixels/app/site/loader.py +++ b/megapixels/app/site/loader.py @@ -85,6 +85,9 @@ def parse_metadata(fn, sections): metadata['meta'] = load_json(dataset_path) if not metadata['meta']: print("Bad metadata? {}".format(dataset_path)) + else: + print(metadata['slug']) + print("{} does not exist!".format(dataset_path)) if 'meta' not in metadata or not metadata['meta']: # dude metadata['meta'] = {} diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index e0925e07..1e3ec097 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -6,6 +6,7 @@ desc: Unconstrained College Students (UCCS) is subdesc: The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection cssclass: dataset image: assets/background.jpg +slug: uccs published: 2019-2-23 updated: 2019-2-23 authors: Adam Harvey diff --git a/site/includes/map.html b/site/includes/map.html index 30c248a6..7511d4c7 100644 --- a/site/includes/map.html +++ b/site/includes/map.html @@ -12,7 +12,7 @@

-->

- To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full }} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index 03b38f8a..1d2630e1 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -28,7 +28,7 @@

Facial Recognition Datasets

-

Survey

+

Explore publicly available facial recognition datasets. More datasets will be added throughout 2019.

diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html index c91d17ad..37fc367f 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -80,6 +80,38 @@
  • "Note that we only keep the images with a minimal side length of 80 pixels." and "a face will be labeled as “Ignore” if it is very difficult to be detected due to blurring, severe deformation and unrecognizable eyes, or the side length of its bounding box is less than 32 pixels." Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf
  • IBM DiF: "Faces with region size less than 50x50 or inter-ocular distance of less than 30 pixels were discarded. Faces with non-frontal pose, or anything beyond being slightly tilted to the left or the right, were also discarded."
    • +

    As the resolution +formatted as rectangular databases of 16 bit RGB-tuples or 8 bit grayscale values

    +

    To consider how visual privacy applies to real world surveillance situations, the first

    +

    A single 8-bit grayscale pixel with 256 values is enough to represent the entire alphabet a-Z0-9 with room to spare.

    +

    A 2x2 pixels contains

    +

    Using no more than a 42 pixel (6x7 image) face image researchers [cite] were able to correctly distinguish between a group of 50 people. Yet

    +

    The likely outcome of face recognition research is that more data is needed to improve. Indeed, resolution is the determining factor for all biometric systems, both as training data to increase

    +

    Pixels, typically considered the buiding blocks of images and vidoes, can also be plotted as a graph of sensor values corresponding to the intensity of RGB-calibrated sensors.

    +

    Wi-Fi and cameras presents elevated risks for transmitting videos and image documentation from conflict zones, high-risk situations, or even sharing on social media. How can new developments in computer vision also be used in reverse, as a counter-forensic tool, to minimize an individual's privacy risk?

    +

    As the global Internet becomes increasingly effecient at turning the Internet into a giant dataset for machine learning, forensics, and data analysing, it would be prudent to also consider tools for decreasing the resolution. The Visual Defense module is just that. What are new ways to minimize the adverse effects of surveillance by dulling the blade. For example, a researcher paper showed that by decreasing a face size to 12x16 it was possible to do 98% accuracy with 50 people. This is clearly an example of

    +

    This research module, tentatively called Visual Defense Tools, aims to explore the

    +

    Prior Research

    + +

    Notes

    + +

    What all 3 examples illustrate is that face recognition is anything but absolute. In a 2017 talk, Jason Matheny the former directory of IARPA, admitted the face recognition is so brittle it can be subverted by using a magic marker and drawing "a few dots on your forehead". In fact face recognition is a misleading term. Face recognition is search engine for faces that can only ever show you the mos likely match. This presents real a real threat to privacy and lends

    +

    Globally, iPhone users unwittingly agree to 1/1,000,000 probably +relying on FaceID and TouchID to protect their information agree to a

    1. NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips↩

      2. diff --git a/site/public/research/02_what_computers_can_see/index.html b/site/public/research/02_what_computers_can_see/index.html index 9389bf84..0fce1373 100644 --- a/site/public/research/02_what_computers_can_see/index.html +++ b/site/public/research/02_what_computers_can_see/index.html @@ -126,6 +126,7 @@
    2. Wearing Necktie
    3. Wearing Necklace
      4. +

      for i in {1..9};do wget http://visiond1.cs.umbc.edu/webpage/codedata/ADLdataset/ADL_videos/P_0$i.MP4;done;for i in {10..20}; do wget http://visiond1.cs.umbc.edu/webpage/codedata/ADLdataset/ADL_videos/P_$i.MP4;done

      From Market 1501

      The 27 attributes are:

      @@ -269,6 +270,24 @@ Visibility boolean for each keypoint Region annotations (upper clothes, lower clothes, dress, socks, shoes, hands, gloves, neck, face, hair, hat, sunglasses, bag, occluder) Body type (male, female or child)

      source: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/h3d/

      +

      From Leeds Sports Pose

      +

      =INDEX(A2:A9,MATCH(datasets!D1,B2:B9,0)) +=VLOOKUP(A2, datasets!A:J, 7, FALSE)

      +

      Right ankle +Right knee +Right hip +Left hip +Left knee +Left ankle +Right wrist +Right elbow +Right shoulder +Left shoulder +Left elbow +Left wrist +Neck +Head top

      +

      source: http://web.archive.org/web/20170915023005/sam.johnson.io/research/lsp.html

      diff --git a/site/public/research/index.html b/site/public/research/index.html index 303732f8..0ef57043 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -26,8 +26,22 @@
      -

      Research Blog

      -
      +
      +

      Research

      +
      +
      +
      Posted
      +
      2018-12-15
      +
      +
      +
      By
      +
      Adam Harvey
      +
      + +
      +
      + +
      -- cgit v1.2.3-70-g09d2 From 07dd05f733c8618ea8dc687f7a48a7add6f5a83b Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 14:42:20 +0200 Subject: fix --- megapixels/app/site/loader.py | 5 +- scraper/client/paper/paper.verify.js | 11 +-- .../datasets/50_people_one_question/index.html | 25 +++---- site/public/datasets/brainwash/index.html | 78 +++++++++++----------- site/public/datasets/celeba/index.html | 25 +++---- site/public/datasets/cofw/index.html | 28 ++++---- site/public/datasets/duke_mtmc/index.html | 50 +++++++------- site/public/datasets/hrt_transgender/index.html | 37 +++++----- site/public/datasets/lfw/index.html | 37 +++++----- site/public/datasets/market_1501/index.html | 25 +++---- site/public/datasets/msceleb/index.html | 37 +++++----- site/public/datasets/pipa/index.html | 25 +++---- site/public/datasets/uccs/index.html | 52 +++++++-------- site/public/datasets/viper/index.html | 37 +++++----- site/public/research/index.html | 18 +---- 15 files changed, 223 insertions(+), 267 deletions(-) (limited to 'site/public/datasets') diff --git a/megapixels/app/site/loader.py b/megapixels/app/site/loader.py index d150942c..779f68ba 100644 --- a/megapixels/app/site/loader.py +++ b/megapixels/app/site/loader.py @@ -85,9 +85,8 @@ def parse_metadata(fn, sections): metadata['meta'] = load_json(dataset_path) if not metadata['meta']: print("Bad metadata? {}".format(dataset_path)) - else: - print(metadata['slug']) - print("{} does not exist!".format(dataset_path)) + elif 'datasets' in fn: + print("/!\\ {} does not exist!".format(dataset_path)) if 'meta' not in metadata or not metadata['meta']: # dude metadata['meta'] = {} diff --git a/scraper/client/paper/paper.verify.js b/scraper/client/paper/paper.verify.js index fcebac02..25117ff1 100644 --- a/scraper/client/paper/paper.verify.js +++ b/scraper/client/paper/paper.verify.js @@ -52,7 +52,7 @@ class PaperVerify extends Component { let newState = {} if (oldSha256 && sha256 !== oldSha256) { - console.log('update verification') + // console.log('update verification') this.props.actions.getAddress(sha256) this.props.actions.getVerification(sha256) const citationState = this.getCitationState(sha256) @@ -60,7 +60,7 @@ class PaperVerify extends Component { ...initialState, ...citationState, ...address.paper, - pdfIndex: citationState.citations.pdf.findIndex(el => el.pdf.match(/^http:/)), + pdfIndex: citationState.citation.pdf.findIndex(el => el.match(/^https:/)), } this.setState(newState) } else if (verify && !verify.loading && verify.paper && (!oldPaper || oldPaper !== verify.paper)) { @@ -71,7 +71,7 @@ class PaperVerify extends Component { ...initialState, ...citationState, ...address.paper, - pdfIndex: citationState.citations.pdf.findIndex(el => el.pdf.match(/^http:/)), + pdfIndex: citationState.citation.pdf.findIndex(el => el.match(/^https:/)), } this.setState(newState) } else { @@ -81,7 +81,7 @@ class PaperVerify extends Component { newState = { ...citationState, ...address.paper, - pdfIndex: citationState.citations.pdf.findIndex(el => el.pdf.match(/^http:/)), + pdfIndex: citationState.citation.pdf.findIndex(el => el.match(/^https:/)), uses_dataset: paper.uses_dataset, images_in_paper: paper.images_in_paper, verified_by: paper.verified_by, @@ -170,7 +170,8 @@ class PaperVerify extends Component { const { paperInfo, sortedCitations } = this.props.api const citations = sortedCitations || paperInfo.citations || [] let citationIndex = citations.findIndex(f => f.id === this.state.citation.id) - + console.log(sortedCitations) + console.log('going to next', key, citationIndex) if (citationIndex === -1) { history.push('/paper/' + key + '/info/') } else { diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 988ce2dc..8e3d2d2b 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -33,7 +33,7 @@

      Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how 50 People One Question Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how 50 People One Question Dataset has been used around the world for commercial, military and academic research; publicly available research citing 50 People One Question is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -76,13 +77,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 20f2f096..c97349aa 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -26,18 +26,16 @@

      -
      Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco
      The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection algorithms -
      Published
      2015
      Images
      11,918
      Faces
      91,146
      Created by
      Stanford Department of Computer Science
      Funded by
      Max Planck Center for Visual Computing and Communication
      Location
      Brainwash Cafe, San Franscisco
      Purpose
      Training face detection
      Explicit Consent
      No

      Brainwash Dataset

      -

      (PAGE UNDER DEVELOPMENT)

      -

      Brainwash is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe 1". The images are used to develop face detection algorithms for the "challenging task of detecting people in crowded scenes" and tracking them.

      -

      Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's SoMA district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area.

      -

      Since it's publication by Stanford in 2015, the Brainwash dataset has appeared in several notable research papers. In September 2016 four researchers from the National University of Defense Technology in Changsha, China used the Brainwash dataset for a research study on "people head detection in crowded scenes", concluding that their algorithm "achieves superior head detection performance on the crowded scenes dataset 2". And again in 2017 three researchers at the National University of Defense Technology used Brainwash for a study on object detection noting "the data set used in our experiment is shown in Table 1, which includes one scene of the brainwash dataset 3".

      -
      An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
      An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
      49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)
      49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)
      +
      Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco in 2014
      The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms +
      Published
      2015
      Images
      11,918
      Faces
      91,146
      Created by
      Stanford University (US)
      Max Planck Institute for Informatics (DE)
      Funded by
      Max Planck Center for Visual Computing and Communication
      Purpose
      Head detection
      Download Size
      4.1GB

      Brainwash Dataset

      +

      Brainwash is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe" 1 captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com [cite orig paper].

      +

      Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance 2 3.

      +

      If you happen to have been at Brainwash cafe in San Franscisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset.

      +
      The pixel-averaged image of all Brainwash dataset images is shown with 81,973 head annotations drawn from the Brainwash training partition. (c) Adam Harvey
      The pixel-averaged image of all Brainwash dataset images is shown with 81,973 head annotations drawn from the Brainwash training partition. (c) Adam Harvey

      Who used Brainwash Dataset?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -46,18 +44,11 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how Brainwash Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how Brainwash Dataset has been used around the world for commercial, military and academic research; publicly available research citing Brainwash Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter.

      -

      Additional Information

      +
      + + +
      +
      +
      +
      + +

      Supplementary Information

      + +
      An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
      An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
      49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)
      49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)

      Additional Resources

      +

      TODO

      +
        +
      • add bounding boxes to the header image
        • +
      • remake montage with randomized images, with bboxes
        • +
      • clean up intro text
        • +
      • verify quote citations
        • +
      • a

        "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.

      • a

        Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.

      • a

        Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.

        diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index 07522561..e958cbef 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -33,7 +33,7 @@

        Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how CelebA Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how CelebA Dataset has been used around the world for commercial, military and academic research; publicly available research citing Large-scale CelebFaces Attributes Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -76,13 +77,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 99d4a9ef..7ac30579 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -43,7 +43,7 @@ To increase the number of training images, and since COFW has the exact same la

      https://www.cs.cmu.edu/~peiyunh/topdown/

      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how COFW Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how COFW Dataset has been used around the world for commercial, military and academic research; publicly available research citing Caltech Occluded Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -86,13 +87,13 @@ To increase the number of training images, and since COFW has the exact same la
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. @@ -103,8 +104,7 @@ To increase the number of training images, and since COFW has the exact same la

      Who used COFW Dataset?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 431cf7ff..9664181e 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -26,12 +26,17 @@
      -
      Duke MTMC is a dataset of CCTV footage of students at Duke University
      Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 cameras at Duke University campus in March 2014 -
      Collected
      March 19, 2014
      Cameras
      8
      Video Frames
      2,000,000
      Identities
      Over 2,000
      Used for
      Person re-identification,
      face recognition
      Sector
      Academic
      Website

      Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

      -

      (PAGE UNDER DEVELOPMENT)

      +
      Duke MTMC is a dataset of surveillance camera footage of students on Duke University campus
      Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014 +
      Created
      2014
      Identities
      Over 2,700
      Used for
      Face recognition, person re-identification
      Created by
      Computer Science Department, Duke University, Durham, US
      Website

      Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

      +

      [ PAGE UNDER DEVELOPMENT ]

      +

      Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving multi-target multi-camera tracking. The videos were recorded during February and March 2014 and cinclude

      +

      Includes a total of 888.8 minutes of video (ind. verified)

      +

      "We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy."

      +

      The dataset includes approximately 2,000 annotated identities appearing in 85 hours of video from 8 cameras located throughout Duke University's campus.

      +
      Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey
      Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey

      According to the dataset authors,

      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how Duke MTMC Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how Duke MTMC Dataset has been used around the world for commercial, military and academic research; publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +

      Who used Duke MTMC Dataset?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -80,14 +85,7 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      @@ -97,13 +95,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 7e10c2fb..ed36abb5 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -32,8 +32,7 @@

      Who used HRT Transgender?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -42,18 +41,11 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how HRT Transgender has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how HRT Transgender has been used around the world for commercial, military and academic research; publicly available research citing HRT Transgender Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -96,13 +89,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 9cbf2e11..22384d77 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -46,7 +46,7 @@

      The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how LFW has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how LFW has been used around the world for commercial, military and academic research; publicly available research citing Labeled Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +

      Who used LFW?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -95,14 +95,7 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      @@ -112,13 +105,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index b7e68c47..9a05d20e 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -31,7 +31,7 @@

      (PAGE UNDER DEVELOPMENT)

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      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how Market 1501 has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how Market 1501 has been used around the world for commercial, military and academic research; publicly available research citing Market 1501 Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
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      • Commercial
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      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -74,13 +75,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 50788aad..0ddf0c68 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -35,8 +35,7 @@

      Who used MsCeleb?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -45,18 +44,11 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how MsCeleb has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how MsCeleb has been used around the world for commercial, military and academic research; publicly available research citing Microsoft Celebrity Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
        • +
      • Commercial
        • +
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      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +

      Add more analysis here

      @@ -100,13 +93,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 09baca99..9e7eb164 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -31,7 +31,7 @@

      (PAGE UNDER DEVELOPMENT)

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      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how PIPA Dataset has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how PIPA Dataset has been used around the world for commercial, military and academic research; publicly available research citing People in Photo Albums Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
      • Government / Military
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      • Commercial
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      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -74,13 +75,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index ca106022..2477c9f8 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -26,12 +26,12 @@

      -
      Unconstrained College Students (UCCS) is a dataset of images ...
      The UCCS dataset includes ... -
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      Unconstrained College Students ...

      +
      Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos of students taken without their knowledge
      The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection +
      Published
      2018
      Images
      16,149
      Identities
      1,732
      Used for
      Face recognition, face detection
      Created by
      Unviversity of Colorado Colorado Springs (US)
      Funded by
      ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR

      Unconstrained College Students ...

      (PAGE UNDER DEVELOPMENT)

      -
      +
      The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
      The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how UCCS has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how UCCS has been used around the world for commercial, military and academic research; publicly available research citing UnConstrained College Students Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

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      • Academic
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      • Industry
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      • Commercial
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      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +

      Who used UCCS?

      - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -80,14 +80,7 @@
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      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      @@ -97,20 +90,20 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter.

      -
      Bounding box visualization
      Bounding box visualization

      Research Notes

      +

      Research Notes

      The original Sapkota and Boult dataset, from which UCCS is derived, received funding from1:

      • ONR (Office of Naval Research) MURI (The Department of Defense Multidisciplinary University Research Initiative) grant N00014-08-1-0638
        • @@ -123,6 +116,11 @@
      • ODNI (Office of Director of National Intelligence)
      • IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
      +

      " In most face detection/recognition datasets, the majority of images are “posed”, i.e. the subjects know they are being photographed, and/or the images are selected for publication in public media. Hence, blurry, occluded and badly illuminated images are generally uncommon in these datasets. In addition, most of these challenges are close-set, i.e. the list of subjects in the gallery is the same as the one used for testing.

      +

      This challenge explores more unconstrained data, by introducing the new UnConstrained College Students (UCCS) dataset, where subjects are photographed using a long-range high-resolution surveillance camera without their knowledge. Faces inside these images are of various poses, and varied levels of blurriness and occlusion. The challenge also creates an open set recognition problem, where unknown people will be seen during testing and must be rejected.

      +

      With this challenge, we hope to foster face detection and recognition research towards surveillance applications that are becoming more popular and more required nowadays, and where no automatic recognition algorithm has proven to be useful yet.

      +

      UnConstrained College Students (UCCS) Dataset

      +

      The UCCS dataset was collected over several months using Canon 7D camera fitted with Sigma 800mm F5.6 EX APO DG HSM lens, taking images at one frame per second, during times when many students were walking on the sidewalk. "

      1. Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.↩

        2. diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index f78d1c04..e94568a3 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -35,8 +35,7 @@

        Who used VIPeR?

        - This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. These charts show at most the top 10 countries. + This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.

      @@ -45,18 +44,11 @@
      -
      -

      - These pie charts show overall totals based on country and institution type. -

      - -
      - -
      +
      -

      Information Supply Chain

      +

      Biometric Trade Routes

      - To understand how VIPeR has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + To help understand how VIPeR has been used around the world for commercial, military and academic research; publicly available research citing Viewpoint Invariant Pedestrian Recognition is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.

      -
      +
      +
      • Academic
        • -
      • Industry
        • -
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        • +
      • Commercial
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      • Military / Government
      • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      +
      @@ -99,13 +92,13 @@
      -

      Supplementary Information

      +

      Supplementary Information

      +
      -

      Citations

      +

      Dataset Citations

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. + The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      Add [button/link] to download CSV. Add search input field to filter. diff --git a/site/public/research/index.html b/site/public/research/index.html index 0ef57043..303732f8 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -26,22 +26,8 @@

      -
      -

      Research

      -
      -
      -
      Posted
      -
      2018-12-15
      -
      -
      -
      By
      -
      Adam Harvey
      -
      - -
      -
      - - +

      Research Blog

      +
      -- cgit v1.2.3-70-g09d2 From 25f850aedbdddd17e0de8c5f2a41aace58c1413f Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 1 Apr 2019 20:09:58 +0200 Subject: yes --- site/includes/citations.html | 3 --- site/public/datasets/50_people_one_question/index.html | 3 --- site/public/datasets/brainwash/index.html | 3 --- site/public/datasets/celeba/index.html | 3 --- site/public/datasets/cofw/index.html | 3 --- site/public/datasets/duke_mtmc/index.html | 3 --- site/public/datasets/hrt_transgender/index.html | 3 --- site/public/datasets/lfw/index.html | 3 --- site/public/datasets/market_1501/index.html | 3 --- site/public/datasets/msceleb/index.html | 3 --- site/public/datasets/pipa/index.html | 3 --- site/public/datasets/uccs/index.html | 3 --- site/public/datasets/viper/index.html | 3 --- 13 files changed, 39 deletions(-) (limited to 'site/public/datasets') diff --git a/site/includes/citations.html b/site/includes/citations.html index 32558d4a..5cd40a29 100644 --- a/site/includes/citations.html +++ b/site/includes/citations.html @@ -4,9 +4,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

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      - Add [button/link] to download CSV. Add search input field to filter. -

      \ No newline at end of file diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 8e3d2d2b..540e2d0d 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -85,9 +85,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index c97349aa..5e8f3a4c 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -90,9 +90,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index e958cbef..f1ee0c22 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -85,9 +85,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      Research

      diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 7ac30579..1f5aa315 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -95,9 +95,6 @@ To increase the number of training images, and since COFW has the exact same la

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

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      - Add [button/link] to download CSV. Add search input field to filter. -

      diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 9664181e..83050506 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -103,9 +103,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      Research Notes

      diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index ed36abb5..528d1c3d 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -97,9 +97,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 22384d77..5f076fc7 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -113,9 +113,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      Commercial Use

      diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index 9a05d20e..951646e3 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -83,9 +83,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      Research Notes

      diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 0ddf0c68..9a671c8e 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -101,9 +101,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

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      Additional Information

      diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 9e7eb164..fe6a4742 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -83,9 +83,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

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      Research Notes

      diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 2477c9f8..10b7603e 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -98,9 +98,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

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      Research Notes

      diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index e94568a3..cc4272c8 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -100,9 +100,6 @@

      The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.

      -

      - Add [button/link] to download CSV. Add search input field to filter. -

      -- cgit v1.2.3-70-g09d2 From d9ce32ede7d8aa38929f0705e92d0c022b28fba7 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Mon, 1 Apr 2019 23:31:35 +0200 Subject: add build --- site/public/about/credits/index.html | 88 ---------------- site/public/about/disclaimer/index.html | 67 ------------ site/public/about/index.html | 11 +- site/public/about/legal/index.html | 86 ++++++++++++++++ site/public/about/press/index.html | 14 +-- site/public/about/privacy/index.html | 93 ++--------------- site/public/about/research/index.html | 58 ----------- .../datasets/50_people_one_question/index.html | 11 +- site/public/datasets/afad/index.html | 7 +- site/public/datasets/aflw/index.html | 7 +- site/public/datasets/brainwash/index.html | 11 +- site/public/datasets/celeba/index.html | 11 +- site/public/datasets/cofw/index.html | 11 +- site/public/datasets/duke_mtmc/index.html | 4 +- site/public/datasets/facebook/index.html | 7 +- site/public/datasets/feret/index.html | 7 +- site/public/datasets/hrt_transgender/index.html | 11 +- site/public/datasets/index.html | 31 +----- site/public/datasets/lfpw/index.html | 7 +- site/public/datasets/lfw/index.html | 11 +- site/public/datasets/market_1501/index.html | 11 +- site/public/datasets/mars/index.html | 110 -------------------- site/public/datasets/msceleb/index.html | 11 +- site/public/datasets/pipa/index.html | 4 +- site/public/datasets/uccs/index.html | 114 ++++++++++++++------- site/public/datasets/vgg_face2/index.html | 7 +- site/public/datasets/viper/index.html | 11 +- .../public/datasets/youtube_celebrities/index.html | 7 +- site/public/test/chart/index.html | 7 +- site/public/test/citations/index.html | 7 +- site/public/test/csv/index.html | 7 +- site/public/test/datasets/index.html | 7 +- site/public/test/face_search/index.html | 7 +- site/public/test/gallery/index.html | 25 ++++- site/public/test/index.html | 7 +- site/public/test/map/index.html | 7 +- site/public/test/name_search/index.html | 7 +- site/public/test/pie_chart/index.html | 7 +- 38 files changed, 302 insertions(+), 614 deletions(-) delete mode 100644 site/public/about/credits/index.html delete mode 100644 site/public/about/disclaimer/index.html create mode 100644 site/public/about/legal/index.html delete mode 100644 site/public/about/research/index.html delete mode 100644 site/public/datasets/mars/index.html (limited to 'site/public/datasets') diff --git a/site/public/about/credits/index.html b/site/public/about/credits/index.html deleted file mode 100644 index b4c17c4d..00000000 --- a/site/public/about/credits/index.html +++ /dev/null @@ -1,88 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -
      - - -
      MegaPixels
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      - Datasets - About -
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      Credits

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      Team

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      • Research and image analysis: Adam Harvey
        • -
      • Development and visualizations: Jules LaPlace
        • -
      • Produced in Partnership with Mozilla
        • -
      • Contributing researchers: Berit Gilma, Mathana Stender
        • -
      -

      Code

      -

      <<<<<<< HEAD

      -
        -
      • This site uses D3.js, C3.js, and ThreeJS for visualizations.
        • -

      • Data aggregation uses Pandas and PDFMiner.Six.

        -
        • -
      • This site uses D3 and C2 for visuzations
        • -
      • Add more here

        > 26646e6adf3833f6282e9515c14ad61e485440c0

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        • -
      -

      Data

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        -
      • link to github
        • -
      • how it was gathered
        • -
      -
      - -
      - - - - - \ No newline at end of file diff --git a/site/public/about/disclaimer/index.html b/site/public/about/disclaimer/index.html deleted file mode 100644 index 28588708..00000000 --- a/site/public/about/disclaimer/index.html +++ /dev/null @@ -1,67 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -
      - - -
      MegaPixels
      -       -
      - Datasets - About -
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      Disclaimer

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      (TEMPORARY PAGE)

      -

      Last updated: December 04, 2018

      -

      The information contained on MegaPixels.cc website (the "Service") is for academic and artistic purposes only.

      -

      MegaPixels.cc assumes no responsibility for errors or omissions in the contents on the Service.

      -

      In no event shall MegaPixels.cc be liable for any special, direct, indirect, consequential, or incidental damages or any damages whatsoever, whether in an action of contract, negligence or other tort, arising out of or in connection with the use of the Service or the contents of the Service. MegaPixels.cc reserves the right to make additions, deletions, or modification to the contents on the Service at any time without prior notice.

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      External links disclaimer

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      MegaPixels.cc website may contain links to external websites that are not provided or maintained by or in any way affiliated with MegaPixels.cc

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      Please note that the MegaPixels.cc does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.

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      - - - - - \ No newline at end of file diff --git a/site/public/about/index.html b/site/public/about/index.html index 18ad797a..d228b830 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -30,10 +30,8 @@

      MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace investigating the ethics and individual privacy implications of publicly available face recognition datasets, and their role in industry and governmental expansion into biometric surveillance technologies.

      The MegaPixels site is made possible with support from Mozilla

      @@ -79,11 +77,10 @@
      MegaPixels ©2017-19 Adam R. Harvey /  diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html new file mode 100644 index 00000000..d5f384ab --- /dev/null +++ b/site/public/about/legal/index.html @@ -0,0 +1,86 @@ + + + + MegaPixels + + + + + + + + + + + + +
      + + +
      MegaPixels
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      MegaPixels.cc Terms and Privacy

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      MegaPixels is an independent art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the Service or Services) you agree to the terms and conditions set forth below.

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      The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer by only loading local dependencies. Additionaly, this site does not use any anaytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs that used only for preventing misuse, which are deleteted at regular short-term intervals.

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      + + + + + \ No newline at end of file diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index 3fc33969..6dc6faa4 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -30,13 +30,10 @@
      -

      (TEMPORARY PAGE)

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      @@ -45,11 +42,10 @@

      (TEMPORARY PAGE)

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      A summary of our privacy policy is as follows:

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      The MegaPixels site does not use any analytics programs or collect any data besides the necessary IP address of your connection, which are deleted every 30 days and used only for security and to prevent misuse.

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      The image processing sections of the site do not collect any data whatsoever. All processing takes place in temporary memory (RAM) and then is displayed back to the user over a SSL secured HTTPS connection. It is the sole responsibility of the user whether they discard, by closing the page, or share their analyzed information and any potential consequences that may arise from doing so.

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      A more complete legal version is below:

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      This is a boilerplate Privacy policy from https://termsfeed.com/

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      Needs to be reviewed

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      Effective date: December 04, 2018

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      megapixels.cc ("us", "we", or "our") operates the WebsiteName website (hereinafter referred to as the "Service").

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      This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data.

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      MegaPixels.cc Terms and Privacy

      +

      MegaPixels is an independent art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing this site you agree to the terms and conditions set forth below.

      +

      Privacy

      +

      The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer by only loading local dependencies. Additionaly, this site does not use any anaytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs that used only for preventing misuse, which are deleteted at regular short-term intervals.

      +

      3rd Party Services

      +

      In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2 Digital Ocean Spaces as a condent delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, cookie-like technologies, tracking, or any similar purpose.

      +

      Links To Other Web Sites

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      The MegaPixels.cc contains many links to 3rd party websites, especically in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.

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      We advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.

      diff --git a/site/public/about/research/index.html b/site/public/about/research/index.html deleted file mode 100644 index 5ad30e20..00000000 --- a/site/public/about/research/index.html +++ /dev/null @@ -1,58 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -
      - - -
      MegaPixels
      -       -
      - Datasets - About -
      -
      -
      - -

      Research Methodologies

      -
      - -
      - -
      - - - - - \ No newline at end of file diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 540e2d0d..5f5e35c2 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -45,7 +45,7 @@ -->

      - To help understand how 50 People One Question Dataset has been used around the world for commercial, military and academic research; publicly available research citing 50 People One Question is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how 50 People One Question Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing 50 People One Question is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -60,8 +60,8 @@
    4. Academic
    5. Commercial
    6. Military / Government
      7. -
    7. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      8. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how Brainwash Dataset has been used around the world for commercial, military and academic research; publicly available research citing Brainwash Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how Brainwash Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing Brainwash Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -75,8 +75,8 @@
    8. Academic
    9. Commercial
    10. Military / Government
      11. -
    11. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      12. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how CelebA Dataset has been used around the world for commercial, military and academic research; publicly available research citing Large-scale CelebFaces Attributes Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how CelebA Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing Large-scale CelebFaces Attributes Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -60,8 +60,8 @@
    12. Academic
    13. Commercial
    14. Military / Government
      15. -
    15. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      16. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how COFW Dataset has been used around the world for commercial, military and academic research; publicly available research citing Caltech Occluded Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how COFW Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing Caltech Occluded Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -70,8 +70,8 @@ To increase the number of training images, and since COFW has the exact same la
    16. Academic
    17. Commercial
    18. Military / Government
      19. -
    19. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      20. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how Duke MTMC Dataset has been used around the world for commercial, military and academic research; publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how Duke MTMC Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -63,8 +63,8 @@
    20. Academic
    21. Commercial
    22. Military / Government
      23. -
    23. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      24. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how HRT Transgender has been used around the world for commercial, military and academic research; publicly available research citing HRT Transgender Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how HRT Transgender has been used around the world by commercial, military and academic organizations; publicly available research citing HRT Transgender Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -72,8 +72,8 @@
    24. Academic
    25. Commercial
    26. Military / Government
      27. -
    27. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      28. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how LFW has been used around the world for commercial, military and academic research; publicly available research citing Labeled Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how LFW has been used around the world by commercial, military and academic organizations; publicly available research citing Labeled Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -73,8 +73,8 @@
    28. Academic
    29. Commercial
    30. Military / Government
      31. -
    31. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      32. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how Market 1501 has been used around the world for commercial, military and academic research; publicly available research citing Market 1501 Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how Market 1501 has been used around the world by commercial, military and academic organizations; publicly available research citing Market 1501 Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -58,8 +58,8 @@
    32. Academic
    33. Commercial
    34. Military / Government
      35. -
    35. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      36. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -

      - To understand how MARS has been used around the world... - affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast -

      - - - -
      -
      -
      - -
      -
      Academic
      -
      Industry
      -
      Government
      - Data is compiled from Semantic Scholar and not yet manually verified. -
      - -
      -

      - The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. -

      -
      - - -
      -
      -
      -
      - -

      Supplementary Information

      -
      - -

      Citations

      -

      - Citations were collected from Semantic Scholar, a website which aggregates - and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. -

      -

      - Add button/link to download CSV -

      - -
      -
      - - - - - - - \ No newline at end of file diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 9a671c8e..9ae09ca0 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -60,7 +60,7 @@ -->

      - To help understand how MsCeleb has been used around the world for commercial, military and academic research; publicly available research citing Microsoft Celebrity Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how MsCeleb has been used around the world by commercial, military and academic organizations; publicly available research citing Microsoft Celebrity Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -75,8 +75,8 @@
    36. Academic
    37. Commercial
    38. Military / Government
      39. -
    39. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      40. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how PIPA Dataset has been used around the world for commercial, military and academic research; publicly available research citing People in Photo Albums Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how PIPA Dataset has been used around the world by commercial, military and academic organizations; publicly available research citing People in Photo Albums Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -58,8 +58,8 @@
    40. Academic
    41. Commercial
    42. Military / Government
      43. -
    43. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      44. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how UCCS has been used around the world for commercial, military and academic research; publicly available research citing UnConstrained College Students Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how UCCS has been used around the world by commercial, military and academic organizations; publicly available research citing UnConstrained College Students Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -58,8 +104,8 @@
    44. Academic
    45. Commercial
    46. Military / Government
      47. -
    47. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      48. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

      - To help understand how VIPeR has been used around the world for commercial, military and academic research; publicly available research citing Viewpoint Invariant Pedestrian Recognition is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. + To help understand how VIPeR has been used around the world by commercial, military and academic organizations; publicly available research citing Viewpoint Invariant Pedestrian Recognition is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.

      @@ -75,8 +75,8 @@
    48. Academic
    49. Commercial
    50. Military / Government
      51. -
    51. Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      52. +
      Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
      -
      diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 5e8f3a4c..c0830a96 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -27,7 +27,28 @@
      Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco in 2014
      The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms -
      Published
      2015
      Images
      11,918
      Faces
      91,146
      Created by
      Stanford University (US)
      Max Planck Institute for Informatics (DE)
      Funded by
      Max Planck Center for Visual Computing and Communication
      Purpose
      Head detection
      Download Size
      4.1GB

      Brainwash Dataset

      +
      +
      Published
      +
      2015
      +
      +
      Images
      +
      11,917
      +
      +
      Purpose
      +
      Head detection
      +
      +
      Created by
      +
      Stanford University (US), Max Planck Institute for Informatics (DE)
      +
      +
      Funded by
      +
      Max Planck Center for Visual Computing and Communication
      +
      +
      Download Size
      +
      4.1 GB
      +
      +
      Website
      + +

      Brainwash Dataset

      Brainwash is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe" 1 captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com [cite orig paper].

      Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance 2 3.

      If you happen to have been at Brainwash cafe in San Franscisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset.

      @@ -94,7 +115,6 @@
      -
      diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index f1ee0c22..ef7a3b27 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -27,7 +27,8 @@
      CelebA is a dataset of people...
      CelebA includes... -
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      CelebA

      +

      {% include 'sidebar.html' %}

      +
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      CelebA

      (PAGE UNDER DEVELOPMENT)

      At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.

      Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

      @@ -71,7 +72,6 @@
      -->
      -
      diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 1f5aa315..3520aaa2 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -26,7 +26,8 @@
      -
      Years
      1993-1996
      Images
      14,126
      Identities
      1,199
      Origin
      Web Searches
      Funded by
      ODNI, IARPA, Microsoft

      Caltech Occluded Faces in the Wild

      +

      {% include 'sidebar.html' %}

      +
      Years
      1993-1996
      Images
      14,126
      Identities
      1,199
      Origin
      Web Searches
      Funded by
      ODNI, IARPA, Microsoft

      Caltech Occluded Faces in the Wild

      (PAGE UNDER DEVELOPMENT)

      COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].

      RESEARCH below this line

      @@ -81,7 +82,6 @@ To increase the number of training images, and since COFW has the exact same la
      -->
      -
      diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index 83050506..c3e84053 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -27,7 +27,8 @@
      Duke MTMC is a dataset of surveillance camera footage of students on Duke University campus
      Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014 -
      Created
      2014
      Identities
      Over 2,700
      Used for
      Face recognition, person re-identification
      Created by
      Computer Science Department, Duke University, Durham, US
      Website

      Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

      +

      {% include 'sidebar.html' %}

      +
      Created
      2014
      Identities
      Over 2,700
      Used for
      Face recognition, person re-identification
      Created by
      Computer Science Department, Duke University, Durham, US
      Website

      Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)

      [ PAGE UNDER DEVELOPMENT ]

      Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving multi-target multi-camera tracking. The videos were recorded during February and March 2014 and cinclude

      Includes a total of 888.8 minutes of video (ind. verified)

      @@ -89,7 +90,6 @@
      -
      diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html index 7fb1901a..e9adb3f2 100644 --- a/site/public/datasets/facebook/index.html +++ b/site/public/datasets/facebook/index.html @@ -27,7 +27,8 @@
      TBD
      TBD -
      TBD

      Statistics

      +
      TBD

      {% include 'sidebar.html' %}

      +

      Statistics

      Years
      2002-2004
      Images
      13,233
      Identities
      5,749
      Origin
      Yahoo News Images
      Funding
      (Possibly, partially CIA)

      Ignore content below these lines

      • Tool to create face datasets from Facebook https://github.com/ankitaggarwal011/FaceGrab
        • diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 528d1c3d..3215fb5d 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -27,7 +27,8 @@
        TBD
        TBD -
        Published
        TBD
        Images
        TBD

        HRT Transgender Dataset

        +

      {% include 'sidebar.html' %}

      +
      Published
      TBD
      Images
      TBD

      HRT Transgender Dataset

      Who used HRT Transgender?

      @@ -83,7 +84,6 @@
      -->
      -
      diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 5f076fc7..562169e4 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -27,7 +27,8 @@
      Labeled Faces in The Wild (LFW) is the first facial recognition dataset created entirely from online photos
      It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004 and is the most frequently used dataset in the world for benchmarking face recognition algorithms. -
      Created
      2002 – 2004
      Images
      13,233
      Identities
      5,749
      Origin
      Yahoo! News Images
      Used by
      Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA
      Website
        +

      {% include 'sidebar.html' %}

      +
      Created
      2002 – 2004
      Images
      13,233
      Identities
      5,749
      Origin
      Yahoo! News Images
      Used by
      Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA
      Website
      • There are about 3 men for every 1 woman in the LFW dataset 1
      • The person with the most images is George W. Bush with 530
      • There are about 3 George W. Bush's for every 1 Tony Blair
        • @@ -99,7 +100,6 @@
      -
      diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index 951646e3..7d9f87f6 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -27,7 +27,8 @@
      Market-1501 is a dataset is collection of CCTV footage from ...
      The Market-1501 dataset includes ... -
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      Market-1501 ...

      +

      {% include 'sidebar.html' %}

      +
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      Market-1501 ...

      (PAGE UNDER DEVELOPMENT)

      @@ -69,7 +70,6 @@
      -->
      -
      diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 9a671c8e..ecab4c3a 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -27,7 +27,8 @@
      MS Celeb is a dataset of web images used for training and evaluating face recognition algorithms
      The MS Celeb dataset includes over 10,000,000 images and 93,000 identities of semi-public figures collected using the Bing search engine -
      Published
      TBD
      Images
      TBD
      Faces
      TBD
      Created by
      TBD

      Microsoft Celeb Dataset (MS Celeb)

      +

      {% include 'sidebar.html' %}

      +
      Published
      TBD
      Images
      TBD
      Faces
      TBD
      Created by
      TBD

      Microsoft Celeb Dataset (MS Celeb)

      (PAGE UNDER DEVELOPMENT)

      At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.

      Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

      @@ -87,7 +88,6 @@ -->

      Add more analysis here

      -
      diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index fe6a4742..ff4302eb 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -27,7 +27,8 @@
      is a dataset...
      PIPA subdescription -
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      Dataset Title TBD

      +

      {% include 'sidebar.html' %}

      +
      Collected
      TBD
      Published
      TBD
      Images
      TBD
      Faces
      TBD

      Dataset Title TBD

      (PAGE UNDER DEVELOPMENT)

      @@ -69,7 +70,6 @@
      -->
      -
      diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 10b7603e..0925763b 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -27,7 +27,8 @@
      Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos of students taken without their knowledge
      The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection -
      Published
      2018
      Images
      16,149
      Identities
      1,732
      Used for
      Face recognition, face detection
      Created by
      Unviversity of Colorado Colorado Springs (US)
      Funded by
      ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR

      Unconstrained College Students ...

      +

      {% include 'sidebar.html' %}

      +
      Published
      2018
      Images
      16,149
      Identities
      1,732
      Used for
      Face recognition, face detection
      Created by
      Unviversity of Colorado Colorado Springs (US)
      Funded by
      ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR

      Unconstrained College Students ...

      (PAGE UNDER DEVELOPMENT)

      The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
      The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
      @@ -84,7 +85,6 @@
      -
      diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index cc4272c8..b838c2b9 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -27,7 +27,8 @@
      VIPeR is a person re-identification dataset of images captured at UC Santa Cruz in 2007
      VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance -
      Published
      2007
      Images
      1,264
      Persons
      632
      Created by
      UC Santa Cruz

      VIPeR Dataset

      +

      {% include 'sidebar.html' %}

      +
      Published
      2007
      Images
      1,264
      Persons
      632
      Created by
      UC Santa Cruz

      VIPeR Dataset

      (PAGE UNDER DEVELOPMENT)

      VIPeR (Viewpoint Invariant Pedestrian Recognition) is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."

      VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).

      @@ -86,7 +87,6 @@
      -->
      -
      diff --git a/site/public/research/index.html b/site/public/research/index.html index 303732f8..0ef57043 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -26,8 +26,22 @@
      -

      Research Blog

      -
      +
      +

      Research

      +
      +
      +
      Posted
      +
      2018-12-15
      +
      +
      +
      By
      +
      Adam Harvey
      +
      + +
      +
      + +
      -- cgit v1.2.3-70-g09d2 From 087cf70c944c09c4d03f2fbcaf7c74718ccb5f8f Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Tue, 2 Apr 2019 14:47:34 +0200 Subject: cursor --- client/table/tabulator.css | 3 ++- site/public/about/faq/index.html | 1 - site/public/about/index.html | 1 - site/public/about/legal/index.html | 1 - site/public/about/press/index.html | 1 - site/public/datasets/50_people_one_question/index.html | 1 - site/public/datasets/afad/index.html | 1 - site/public/datasets/aflw/index.html | 1 - site/public/datasets/brainwash/index.html | 1 - site/public/datasets/caltech_10k/index.html | 1 - site/public/datasets/celeba/index.html | 1 - site/public/datasets/cofw/index.html | 1 - site/public/datasets/duke_mtmc/index.html | 1 - site/public/datasets/facebook/index.html | 1 - site/public/datasets/feret/index.html | 1 - site/public/datasets/hrt_transgender/index.html | 1 - site/public/datasets/index.html | 1 - site/public/datasets/lfpw/index.html | 1 - site/public/datasets/lfw/index.html | 1 - site/public/datasets/market_1501/index.html | 1 - site/public/datasets/msceleb/index.html | 1 - site/public/datasets/pipa/index.html | 1 - site/public/datasets/uccs/index.html | 1 - site/public/datasets/vgg_face2/index.html | 1 - site/public/datasets/viper/index.html | 1 - site/public/datasets/youtube_celebrities/index.html | 1 - site/public/info/index.html | 1 - site/public/research/00_introduction/index.html | 1 - site/public/research/01_from_1_to_100_pixels/index.html | 1 - site/public/research/02_what_computers_can_see/index.html | 1 - site/public/research/index.html | 1 - site/public/test/chart/index.html | 1 - site/public/test/citations/index.html | 1 - site/public/test/csv/index.html | 1 - site/public/test/datasets/index.html | 1 - site/public/test/face_search/index.html | 1 - site/public/test/gallery/index.html | 1 - site/public/test/index.html | 1 - site/public/test/map/index.html | 1 - site/public/test/name_search/index.html | 1 - site/public/test/pie_chart/index.html | 1 - site/templates/layout.html | 1 - 42 files changed, 2 insertions(+), 42 deletions(-) (limited to 'site/public/datasets') diff --git a/client/table/tabulator.css b/client/table/tabulator.css index 17dad62a..9a7ca00e 100644 --- a/client/table/tabulator.css +++ b/client/table/tabulator.css @@ -9,6 +9,7 @@ background-color: #333; } .desktop .tabulator-row.tabulator-selectable:hover { + cursor: text; background-color: #555; } .tabulator-row .tabulator-cell { @@ -35,7 +36,7 @@ max-width: 400px; margin-bottom: 10px; background-image: url(/assets/img/icon-search.png); - background-position: 390px center; + background-position: 380px center; background-repeat: no-repeat; box-shadow: 0px 2px 4px rgba(0,0,0,0.2); border: 0; diff --git a/site/public/about/faq/index.html b/site/public/about/faq/index.html index b86dac22..00e5d719 100644 --- a/site/public/about/faq/index.html +++ b/site/public/about/faq/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/about/index.html b/site/public/about/index.html index 18ad797a..d5d72b04 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html index 331712ba..b27e9188 100644 --- a/site/public/about/legal/index.html +++ b/site/public/about/legal/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index 3fc33969..e09bf732 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 8afe69e3..e3006385 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html index a0aea1a6..8254d4fa 100644 --- a/site/public/datasets/afad/index.html +++ b/site/public/datasets/afad/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html index 7aaa9af0..6c7b2397 100644 --- a/site/public/datasets/aflw/index.html +++ b/site/public/datasets/aflw/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index c0830a96..2a839a24 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/caltech_10k/index.html b/site/public/datasets/caltech_10k/index.html index 6615bb1a..9692fb2b 100644 --- a/site/public/datasets/caltech_10k/index.html +++ b/site/public/datasets/caltech_10k/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index b8300dbf..5e8c5fce 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 84d38f1f..2da951ee 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index dcd01308..f5c94620 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html index 7fb1901a..bdfb658f 100644 --- a/site/public/datasets/facebook/index.html +++ b/site/public/datasets/facebook/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html index ce60f3de..4cd57413 100644 --- a/site/public/datasets/feret/index.html +++ b/site/public/datasets/feret/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 05a49b9b..8d472c3b 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index 3a2dbd52..c43b2097 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html index 087d8b1d..fae3cc93 100644 --- a/site/public/datasets/lfpw/index.html +++ b/site/public/datasets/lfpw/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 22c8c1ad..4b22fdf4 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index 2761a7c7..bacc5b16 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 21a14129..7a3d2bab 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index d74ae49e..89d42a0b 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 4de64ebc..56c3a7c5 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html index 42e3b961..dc8f1ebc 100644 --- a/site/public/datasets/vgg_face2/index.html +++ b/site/public/datasets/vgg_face2/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index 2610d1a1..29638ed7 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html index dd230926..d7030588 100644 --- a/site/public/datasets/youtube_celebrities/index.html +++ b/site/public/datasets/youtube_celebrities/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/info/index.html b/site/public/info/index.html index ef7dc8db..d535b672 100644 --- a/site/public/info/index.html +++ b/site/public/info/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/research/00_introduction/index.html b/site/public/research/00_introduction/index.html index 5c536dc4..89ca3bb5 100644 --- a/site/public/research/00_introduction/index.html +++ b/site/public/research/00_introduction/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html index 37fc367f..f60df65e 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/research/02_what_computers_can_see/index.html b/site/public/research/02_what_computers_can_see/index.html index 0fce1373..2a9b9c23 100644 --- a/site/public/research/02_what_computers_can_see/index.html +++ b/site/public/research/02_what_computers_can_see/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/research/index.html b/site/public/research/index.html index 303732f8..dc49e849 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/chart/index.html b/site/public/test/chart/index.html index 93e12b3c..4968224f 100644 --- a/site/public/test/chart/index.html +++ b/site/public/test/chart/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/citations/index.html b/site/public/test/citations/index.html index 70b3fe55..3bc07693 100644 --- a/site/public/test/citations/index.html +++ b/site/public/test/citations/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/csv/index.html b/site/public/test/csv/index.html index 70a7d257..8683b4a1 100644 --- a/site/public/test/csv/index.html +++ b/site/public/test/csv/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/datasets/index.html b/site/public/test/datasets/index.html index 15edf039..f0dda184 100644 --- a/site/public/test/datasets/index.html +++ b/site/public/test/datasets/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/face_search/index.html b/site/public/test/face_search/index.html index 93dc2bc6..ad1f59c0 100644 --- a/site/public/test/face_search/index.html +++ b/site/public/test/face_search/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/gallery/index.html b/site/public/test/gallery/index.html index 9e2c54f6..354baa24 100644 --- a/site/public/test/gallery/index.html +++ b/site/public/test/gallery/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/index.html b/site/public/test/index.html index 0fc839d0..ab06c922 100644 --- a/site/public/test/index.html +++ b/site/public/test/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/map/index.html b/site/public/test/map/index.html index 4f4e7093..bde62f4f 100644 --- a/site/public/test/map/index.html +++ b/site/public/test/map/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/name_search/index.html b/site/public/test/name_search/index.html index 4e3ef428..1cc71731 100644 --- a/site/public/test/name_search/index.html +++ b/site/public/test/name_search/index.html @@ -8,7 +8,6 @@ - diff --git a/site/public/test/pie_chart/index.html b/site/public/test/pie_chart/index.html index 7dd159a3..169a6d6a 100644 --- a/site/public/test/pie_chart/index.html +++ b/site/public/test/pie_chart/index.html @@ -8,7 +8,6 @@ - diff --git a/site/templates/layout.html b/site/templates/layout.html index b5b7880c..d51e4b6a 100644 --- a/site/templates/layout.html +++ b/site/templates/layout.html @@ -8,7 +8,6 @@ - -- cgit v1.2.3-70-g09d2 From 9280b2ad356b7f0cda38f9e14eb91b89f076e9c1 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Tue, 2 Apr 2019 15:50:01 +0200 Subject: clamp citations height. add waypoint --- client/index.js | 20 ++++++++++++++++++++ client/table/citations.table.js | 2 +- client/table/file.table.js | 2 +- package-lock.json | 20 ++++++++++++++++++++ package.json | 4 +++- site/assets/css/css.css | 14 ++++++++++---- site/public/datasets/brainwash/index.html | 1 + site/templates/layout.html | 1 + 8 files changed, 57 insertions(+), 7 deletions(-) (limited to 'site/public/datasets') diff --git a/client/index.js b/client/index.js index 5e36d341..c09aece7 100644 --- a/client/index.js +++ b/client/index.js @@ -2,6 +2,7 @@ import React from 'react' import ReactDOM from 'react-dom' import { AppContainer } from 'react-hot-loader' import { Provider } from 'react-redux' +import 'waypoints/lib/noframework.waypoints.min.js'; import { toArray } from './util' import Applet from './applet' @@ -112,6 +113,24 @@ function runApplets() { } } +function buildWaypoints() { + const element = document.querySelector('.content section:nth-child(2)') + if (element) { + var waypoint = new Waypoint({ + element, + handler: function(direction) { + if (direction === 'down') { + document.body.classList.add('scrolled') + } else { + document.body.classList.remove('scrolled') + } + // console.log(direction) + // console.log('Scrolled to waypoint!') + } + }) + } +} + function main() { const paras = document.querySelectorAll('section p') // if (paras.length) { @@ -123,6 +142,7 @@ function main() { } }) runApplets() + buildWaypoints() } main() diff --git a/client/table/citations.table.js b/client/table/citations.table.js index bbc55047..178cc65b 100644 --- a/client/table/citations.table.js +++ b/client/table/citations.table.js @@ -117,7 +117,7 @@ class CitationsTable extends Component { columns={citationsColumns} data={filteredCitations} options={{ - height: 311, + height: Math.max(104, Math.min(37 * formattedCitations.length + 29, 311)), layout: 'fitColumns', placeholder: formattedCitations.length ? '' : 'Nothing matches your query', }} diff --git a/client/table/file.table.js b/client/table/file.table.js index 82c01ac5..db53243a 100644 --- a/client/table/file.table.js +++ b/client/table/file.table.js @@ -71,7 +71,7 @@ class FileTable extends Component { columns={this.state.columns} data={this.state.data} options={{ - height: 311, + height: Math.min(37 * this.state.data.length + 29, 311), layout: 'fitColumns', placeholder: 'No Data Set', }} diff --git a/package-lock.json b/package-lock.json index 43ee0cbf..54e60fad 100644 --- a/package-lock.json +++ b/package-lock.json @@ -2061,6 +2061,11 @@ "date-now": "^0.1.4" } }, + "consolidated-events": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/consolidated-events/-/consolidated-events-2.0.2.tgz", + "integrity": "sha512-2/uRVMdRypf5z/TW/ncD/66l75P5hH2vM/GR8Jf8HLc2xnfJtmina6F6du8+v4Z2vTrMo7jC+W1tmEEuuELgkQ==" + }, "constants-browserify": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/constants-browserify/-/constants-browserify-1.0.0.tgz", @@ -7351,6 +7356,16 @@ "resolved": "https://registry.npmjs.org/react-tag-autocomplete/-/react-tag-autocomplete-5.8.2.tgz", "integrity": "sha512-GkOQrSLjvWo98IeqRuGgc77zaxSMyMjy+b2Rc+m9jMKTWopF9h5Lf2F/X1oK9hcnUCeUmJ5QVpc/dx9MgOA2Iw==" }, + "react-waypoint": { + "version": "9.0.1", + "resolved": "https://registry.npmjs.org/react-waypoint/-/react-waypoint-9.0.1.tgz", + "integrity": "sha512-AdP1EhU5fOFne1aEfZPv2AhVC+cGJ3TxITOnZM9tBBlXOOhz3lXtTSHdicRCY+2VBqerT6zD1tAtp89Mng+Chg==", + "requires": { + "consolidated-events": "^1.1.0 || ^2.0.0", + "prop-types": "^15.0.0", + "react-is": "^16.6.3" + } + }, "read-pkg": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/read-pkg/-/read-pkg-2.0.0.tgz", @@ -9874,6 +9889,11 @@ } } }, + "waypoints": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/waypoints/-/waypoints-4.0.1.tgz", + "integrity": "sha1-CZeaBXOBCylifLpDZqKEoGLsacg=" + }, "wbuf": { "version": "1.7.3", "resolved": "https://registry.npmjs.org/wbuf/-/wbuf-1.7.3.tgz", diff --git a/package.json b/package.json index 75fbebb7..bbd3d763 100644 --- a/package.json +++ b/package.json @@ -56,6 +56,7 @@ "react-router-dom": "^4.3.1", "react-spin": "^0.6.2", "react-tabulator": "^0.9.1", + "react-waypoint": "^9.0.1", "redux": "^4.0.0", "redux-thunk": "^2.3.0", "snapsvg": "^0.5.1", @@ -65,7 +66,8 @@ "three": "^0.100.0", "three-orbitcontrols": "^2.99.1", "three.meshline": "^1.1.0", - "three.textsprite": "^18.10.24" + "three.textsprite": "^18.10.24", + "waypoints": "^4.0.1" }, "devDependencies": { "babel-cli": "^6.26.0", diff --git a/site/assets/css/css.css b/site/assets/css/css.css index a09234d3..824819a9 100644 --- a/site/assets/css/css.css +++ b/site/assets/css/css.css @@ -64,10 +64,16 @@ header .site_name { line-height: 11px; letter-spacing: 3px; } -header .site_name.splash{ - font-size: 20px; - line-height: 20px; - font-weight: 400; +header .splash{ + font-size: 15px; + font-weight: 400; + color: #888; + padding-left: 8px; + opacity: 0; + transition: 0.3s opacity cubic-bezier(0,0,1,1); +} +.scrolled header .splash { + opacity: 1; } header .links{ font-size: 18px; diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 2a839a24..ec5ee434 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Brainwash
      Datasets diff --git a/site/templates/layout.html b/site/templates/layout.html index d51e4b6a..7b610523 100644 --- a/site/templates/layout.html +++ b/site/templates/layout.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      {{ metadata.meta.dataset.name_short }}
      Datasets -- cgit v1.2.3-70-g09d2 From 5d865f3fe53bfc96625f7624c542f96306567f21 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Tue, 2 Apr 2019 15:54:26 +0200 Subject: rebuild --- site/public/about/faq/index.html | 1 + site/public/about/index.html | 1 + site/public/about/legal/index.html | 1 + site/public/about/press/index.html | 1 + site/public/datasets/50_people_one_question/index.html | 1 + site/public/datasets/afad/index.html | 1 + site/public/datasets/aflw/index.html | 1 + site/public/datasets/caltech_10k/index.html | 1 + site/public/datasets/celeba/index.html | 1 + site/public/datasets/cofw/index.html | 1 + site/public/datasets/duke_mtmc/index.html | 1 + site/public/datasets/facebook/index.html | 1 + site/public/datasets/feret/index.html | 1 + site/public/datasets/hrt_transgender/index.html | 1 + site/public/datasets/index.html | 1 + site/public/datasets/lfpw/index.html | 1 + site/public/datasets/lfw/index.html | 1 + site/public/datasets/market_1501/index.html | 1 + site/public/datasets/msceleb/index.html | 1 + site/public/datasets/pipa/index.html | 1 + site/public/datasets/uccs/index.html | 1 + site/public/datasets/vgg_face2/index.html | 1 + site/public/datasets/viper/index.html | 1 + site/public/datasets/youtube_celebrities/index.html | 1 + site/public/info/index.html | 1 + site/public/research/00_introduction/index.html | 1 + site/public/research/01_from_1_to_100_pixels/index.html | 1 + site/public/research/02_what_computers_can_see/index.html | 1 + site/public/research/index.html | 1 + site/public/test/chart/index.html | 1 + site/public/test/citations/index.html | 1 + site/public/test/csv/index.html | 1 + site/public/test/datasets/index.html | 1 + site/public/test/face_search/index.html | 1 + site/public/test/gallery/index.html | 1 + site/public/test/index.html | 1 + site/public/test/map/index.html | 1 + site/public/test/name_search/index.html | 1 + site/public/test/pie_chart/index.html | 1 + site/templates/layout.html | 2 +- 40 files changed, 40 insertions(+), 1 deletion(-) (limited to 'site/public/datasets') diff --git a/site/public/about/faq/index.html b/site/public/about/faq/index.html index 00e5d719..168abd0b 100644 --- a/site/public/about/faq/index.html +++ b/site/public/about/faq/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/about/index.html b/site/public/about/index.html index d5d72b04..c379ec43 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html index b27e9188..4e84a601 100644 --- a/site/public/about/legal/index.html +++ b/site/public/about/legal/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index e09bf732..610fda6e 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index e3006385..796af8d6 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      50 People One Question
      Datasets diff --git a/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html index 8254d4fa..ac025a80 100644 --- a/site/public/datasets/afad/index.html +++ b/site/public/datasets/afad/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      AFAD
      Datasets diff --git a/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html index 6c7b2397..476f390c 100644 --- a/site/public/datasets/aflw/index.html +++ b/site/public/datasets/aflw/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/caltech_10k/index.html b/site/public/datasets/caltech_10k/index.html index 9692fb2b..9aa0b2c3 100644 --- a/site/public/datasets/caltech_10k/index.html +++ b/site/public/datasets/caltech_10k/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index 5e8c5fce..26a43803 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      CelebA
      Datasets diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 2da951ee..8925d4b8 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      COFW
      Datasets diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html index f5c94620..37de48ad 100644 --- a/site/public/datasets/duke_mtmc/index.html +++ b/site/public/datasets/duke_mtmc/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Duke MTMC
      Datasets diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html index bdfb658f..b2943e1f 100644 --- a/site/public/datasets/facebook/index.html +++ b/site/public/datasets/facebook/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html index 4cd57413..45510f64 100644 --- a/site/public/datasets/feret/index.html +++ b/site/public/datasets/feret/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      LFW
      Datasets diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index 8d472c3b..80a4f40b 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      HRT Transgender
      Datasets diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index c43b2097..f4776f6a 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html index fae3cc93..77189ce7 100644 --- a/site/public/datasets/lfpw/index.html +++ b/site/public/datasets/lfpw/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      LFWP
      Datasets diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 4b22fdf4..d451d0cd 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      LFW
      Datasets diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html index bacc5b16..1ffd7e6c 100644 --- a/site/public/datasets/market_1501/index.html +++ b/site/public/datasets/market_1501/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Market 1501
      Datasets diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index 7a3d2bab..fb08c737 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      MsCeleb
      Datasets diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html index 89d42a0b..27168c5c 100644 --- a/site/public/datasets/pipa/index.html +++ b/site/public/datasets/pipa/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      PIPA
      Datasets diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 56c3a7c5..593ac498 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      UCCS
      Datasets diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html index dc8f1ebc..d5c1d98c 100644 --- a/site/public/datasets/vgg_face2/index.html +++ b/site/public/datasets/vgg_face2/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html index 29638ed7..6d27b15b 100644 --- a/site/public/datasets/viper/index.html +++ b/site/public/datasets/viper/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      VIPeR
      Datasets diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html index d7030588..ee11f3c0 100644 --- a/site/public/datasets/youtube_celebrities/index.html +++ b/site/public/datasets/youtube_celebrities/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      YouTube Celebrities
      Datasets diff --git a/site/public/info/index.html b/site/public/info/index.html index d535b672..eb78b260 100644 --- a/site/public/info/index.html +++ b/site/public/info/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/research/00_introduction/index.html b/site/public/research/00_introduction/index.html index 89ca3bb5..43f95d2a 100644 --- a/site/public/research/00_introduction/index.html +++ b/site/public/research/00_introduction/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html index f60df65e..ea296960 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/research/02_what_computers_can_see/index.html b/site/public/research/02_what_computers_can_see/index.html index 2a9b9c23..23641328 100644 --- a/site/public/research/02_what_computers_can_see/index.html +++ b/site/public/research/02_what_computers_can_see/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/research/index.html b/site/public/research/index.html index dc49e849..d3ed6ef3 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/chart/index.html b/site/public/test/chart/index.html index 4968224f..53f41d6a 100644 --- a/site/public/test/chart/index.html +++ b/site/public/test/chart/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/citations/index.html b/site/public/test/citations/index.html index 3bc07693..e7140177 100644 --- a/site/public/test/citations/index.html +++ b/site/public/test/citations/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/csv/index.html b/site/public/test/csv/index.html index 8683b4a1..c47bcd57 100644 --- a/site/public/test/csv/index.html +++ b/site/public/test/csv/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/datasets/index.html b/site/public/test/datasets/index.html index f0dda184..61e4ef86 100644 --- a/site/public/test/datasets/index.html +++ b/site/public/test/datasets/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/face_search/index.html b/site/public/test/face_search/index.html index ad1f59c0..cad7ceec 100644 --- a/site/public/test/face_search/index.html +++ b/site/public/test/face_search/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/gallery/index.html b/site/public/test/gallery/index.html index 354baa24..7dbe020b 100644 --- a/site/public/test/gallery/index.html +++ b/site/public/test/gallery/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/index.html b/site/public/test/index.html index ab06c922..730d10c9 100644 --- a/site/public/test/index.html +++ b/site/public/test/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/map/index.html b/site/public/test/map/index.html index bde62f4f..19c09314 100644 --- a/site/public/test/map/index.html +++ b/site/public/test/map/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/name_search/index.html b/site/public/test/name_search/index.html index 1cc71731..f14f6f83 100644 --- a/site/public/test/name_search/index.html +++ b/site/public/test/name_search/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/public/test/pie_chart/index.html b/site/public/test/pie_chart/index.html index 169a6d6a..a3167090 100644 --- a/site/public/test/pie_chart/index.html +++ b/site/public/test/pie_chart/index.html @@ -17,6 +17,7 @@
      MegaPixels
      +
      Datasets diff --git a/site/templates/layout.html b/site/templates/layout.html index 7b610523..d0630310 100644 --- a/site/templates/layout.html +++ b/site/templates/layout.html @@ -17,7 +17,7 @@
      MegaPixels
      -
      {{ metadata.meta.dataset.name_short }}
      + {% if metadata.meta.dataset %}
      {{ metadata.meta.dataset.name_short }}
      {% endif %}
      Datasets -- cgit v1.2.3-70-g09d2