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/hrt_transgender/index.html | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) (limited to 'site/public/datasets/hrt_transgender') diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html index e38e134b..8b870128 100644 --- a/site/public/datasets/hrt_transgender/index.html +++ b/site/public/datasets/hrt_transgender/index.html @@ -39,6 +39,8 @@
+

@@ -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)

-- 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/hrt_transgender') 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/hrt_transgender') 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 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/hrt_transgender') 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.

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  • Academic
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@@ -76,13 +77,13 @@
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Supplementary Information

+

Supplementary Information

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-

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 -

Brainwash Dataset

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(PAGE UNDER DEVELOPMENT)

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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.

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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 +

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.

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

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Information Supply Chain

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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.

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  • Academic
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  • Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
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Citations

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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.

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Additional Information

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+ + +
+
+
+
+ +

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

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

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  • Academic
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Supplementary Information

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Supplementary Information

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-

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/

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Information Supply Chain

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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.

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Supplementary Information

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Supplementary Information

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-

Citations

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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 @@
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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 -

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

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(PAGE UNDER DEVELOPMENT)

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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 +

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

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[ PAGE UNDER DEVELOPMENT ]

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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

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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,

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Information Supply Chain

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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.

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  • Academic
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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.

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

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Supplementary Information

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Supplementary Information

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-

Citations

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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.

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

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Information Supply Chain

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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.

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Supplementary Information

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Supplementary Information

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Citations

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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.

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Information Supply Chain

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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.

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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.

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Supplementary Information

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Supplementary Information

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Citations

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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

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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.

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  • Academic
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Supplementary Information

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Supplementary Information

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-

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.

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

- -
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Information Supply Chain

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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.

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  • Academic
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Add more analysis here

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Supplementary Information

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Supplementary Information

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-

Citations

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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

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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.

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Supplementary Information

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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 @@

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Unconstrained College Students (UCCS) is a dataset of images ...
The UCCS dataset includes ... -

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 +

Unconstrained College Students ...

(PAGE UNDER DEVELOPMENT)

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 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
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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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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.

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Supplementary Information

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Supplementary Information

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Citations

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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.

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

- -
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Information Supply Chain

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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.

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  • Academic
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Supplementary Information

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Supplementary Information

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-

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 @@

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Research

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Posted
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2018-12-15
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By
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Adam Harvey
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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/hrt_transgender') 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.

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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.

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- 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.

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- 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.

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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.

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- 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.

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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.

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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.

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-- 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/hrt_transgender') 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 - - - - - - - - - - - - -
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  • Produced in Partnership with Mozilla
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  • Contributing researchers: Berit Gilma, Mathana Stender
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Code

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  • This site uses D3.js, C3.js, and ThreeJS for visualizations.
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Last updated: December 04, 2018

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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

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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 + + + + + + + + + + + + +
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MegaPixels
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Legal

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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 MegaPixels (the Service or Services) you agree to the terms and conditions set forth below.

+

Changes

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We reserve the right, at our sole discretion, to modify or replace these Terms at any time. If a revision is material we will try to provide at least 30 days notice prior to any new terms taking effect. What constitutes a material change will be determined at our sole discretion.

+

By continuing to access or use our Service after those revisions become effective, you agree to be bound by the revised terms. If you do not agree to the new terms, please stop using the Service.

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Privacy

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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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3rd Party Services

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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.

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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.

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The Information We Provide

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While every intention is made to verify and publish only verifiablenformation, at times amendments to accuracy may be required. In no event will the operators of this site be liable for your use or misuse of the information provided.

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We may terminate or suspend access to our Service immediately, without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.

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All provisions of the Terms which by their nature should survive termination shall survive termination, including, without limitation, ownership provisions, warranty disclaimers, indemnity and limitations of liability.

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Prohibited Uses

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You may not access or use, or attempt to access or use, the Services to take any action that could harm us or a third party. You may not use the Services in violation of applicable laws or in violation of our or any third party’s intellectual property or other proprietary or legal rights. You further agree that you shall not attempt (or encourage or support anyone else's attempt) to circumvent, reverse engineer, decrypt, or otherwise alter or interfere with the Services, or any content thereof, or make any unauthorized use thereof.

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Without prior written consent, you shall not:

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(i) access any part of the Services, Content, data or information you do not have permission or authorization to access;

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(ii) use robots, spiders, scripts, service, software or any manual or automatic device, tool, or process designed to data mine or scrape the Content, data or information from the Services, or otherwise access or collect the Content, data or information from the Services using automated means;

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(iii) use services, software or any manual or automatic device, tool, or process designed to circumvent any restriction, condition, or technological measure that controls access to the Services in any way, including overriding any security feature or bypassing or circumventing any access controls or use limits of the Services;

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(iv) cache or archive the Content (except for a public search engine’s use of spiders for creating search indices);

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(v) take action that imposes an unreasonable or disproportionately large load on our network or infrastructure; and

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(vi) do anything that could disable, damage or change the functioning or appearance of the Services, including the presentation of advertising.

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Engaging in a prohibited use of the Services may result in civil, criminal, and/or administrative penalties, fines, or sanctions against the user and those assisting the user.

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Governing Law

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These Terms shall be governed and construed in accordance with the laws of Berlin, Germany, without regard to its conflict of law provisions.

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Our failure to enforce any right or provision of these Terms will not be considered a waiver of those rights. If any provision of these Terms is held to be invalid or unenforceable by a court, the remaining provisions of these Terms will remain in effect. These Terms constitute the entire agreement between us regarding our Service, and supersede and replace any prior agreements we might have between us regarding the Service.

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Indemnity

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You hereby indemnify, defend and hold harmless MegaPixels (and its creators) and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the "Indemnified Parties") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. We reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.

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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 @@
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(TEMPORARY PAGE)

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(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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We use your data to provide and improve the Service. By using the Service, you agree to the collection and use of information in accordance with this policy. Unless otherwise defined in this Privacy Policy, the terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, accessible from WebsiteName

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Definitions

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Service

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Service is the MegaPixels website operated by megapixels.cc

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Personal Data

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Personal Data means data about a living individual who can be identified from those data (or from those and other information either in our possession or likely to come into our possession).

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Usage Data

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Usage Data is data collected automatically either generated by the use of the Service or from the Service infrastructure itself

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Information Collection and Use

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We collect several different types of information for various purposes to provide and improve our Service to you.

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Types of Data Collected

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Personal Data

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While using our Service, we may ask you to provide us with certain personally identifiable information that can be used to contact or identify you ("Personal Data"). Personally identifiable information may include, but is not limited to:

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  • Cookies and Usage Data
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Usage Data

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We may also collect information how the Service is accessed and used ("Usage Data"). This Usage Data may include information such as your computer's Internet Protocol address (e.g. IP address), browser type, browser version, the pages of our Service that you visit, the time and date of your visit, the time spent on those pages, unique device identifiers and other diagnostic data.

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Tracking & Cookies Data

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We use cookies and similar tracking technologies to track the activity on our Service and we hold certain information. -Cookies are files with a small amount of data which may include an anonymous unique identifier. Cookies are sent to your browser from a website and stored on your device. Other tracking technologies are also used such as beacons, tags and scripts to collect and track information and to improve and analyse our Service.

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You can instruct your browser to refuse all cookies or to indicate when a cookie is being sent. However, if you do not accept cookies, you may not be able to use some portions of our Service. -Examples of Cookies we use:

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  • Preference Cookies. We use Preference Cookies to remember your preferences and various settings.
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  • Security Cookies. We use Security Cookies for security purposes.
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Use of Data

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megapixels.cc uses the collected data for various purposes:

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  • To provide and maintain the Service
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  • To notify you about changes to our Service
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  • To provide analysis or valuable information so that we can improve the Service
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  • To monitor the usage of the Service
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  • To detect, prevent and address technical issues
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Transfer Of Data

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Your information, including Personal Data, may be transferred to — and maintained on — computers located outside of your state, province, country or other governmental jurisdiction where the data protection laws may differ than those from your jurisdiction.

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If you are located outside Germany and choose to provide information to us, please note that we transfer the data, including Personal Data, to Germany and process it there. -Your consent to this Privacy Policy followed by your submission of such information represents your agreement to that transfer. -megapixels.cc will take all steps reasonably necessary to ensure that your data is treated securely and in accordance with this Privacy Policy and no transfer of your Personal Data will take place to an organization or a country unless there are adequate controls in place including the security of your data and other personal information.

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Disclosure Of Data

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Legal Requirements

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megapixels.cc may disclose your Personal Data in the good faith belief that such action is necessary to:

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  • To comply with a legal obligation
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  • To protect and defend the rights or property of megapixels.cc
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  • To prevent or investigate possible wrongdoing in connection with the Service
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  • To protect the personal safety of users of the Service or the public
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  • To protect against legal liability
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Security of Data

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The security of your data is important to us but remember that no method of transmission over the Internet or method of electronic storage is 100% secure. While we strive to use commercially acceptable means to protect your Personal Data, we cannot guarantee its absolute security.

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Service Providers

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We may employ third party companies and individuals to facilitate our Service ("Service Providers"), to provide the Service on our behalf, to perform Service-related services or to assist us in analyzing how our Service is used.

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These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose.

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Links to Other Sites

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Our Service may contain links to other sites that are not operated by us. If you click a third party link, you will be directed to that third party's site. We strongly advise you to review the Privacy Policy of every site you visit. -We have no control over and assume no responsibility for the content, privacy policies or practices of any third party sites or services.

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Children's Privacy

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Our Service does not address anyone under the age of 18 ("Children").

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We do not knowingly collect personally identifiable information from anyone under the age of 18. If you are a parent or guardian and you are aware that your Child has provided us with Personal Data, please contact us. If we become aware that we have collected Personal Data from children without verification of parental consent, we take steps to remove that information from our servers.

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Changes to This Privacy Policy

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We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page. -We will let you know via email and/or a prominent notice on our Service, prior to the change becoming effective and update the "effective date" at the top of this Privacy Policy. -You are advised to review this Privacy Policy periodically for any changes. Changes to this Privacy Policy are effective when they are posted on this page.

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Contact Us

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If you have any questions about this Privacy Policy, please contact us:

- +

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

+

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.

+

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 - - - - - - - - - - - - -
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MegaPixels
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Research Methodologies

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- - - - - \ 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.

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

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    Academic
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    Industry
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    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. -

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    - - -
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    Supplementary Information

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    - -

    Citations

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    - 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. -

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

    Brainwash Dataset

    +

    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... -

    CelebA

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    CelebA

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    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

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    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 @@
    -

    Caltech Occluded Faces in the Wild

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    Caltech Occluded Faces in the Wild

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    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
    -->
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    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 -

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

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    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

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    TBD

    {% include 'sidebar.html' %}

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    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 -

      HRT Transgender Dataset

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    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. -
    -
    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 ... -

    Market-1501 ...

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    Market-1501 ...

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    -
    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 -

    Microsoft Celeb Dataset (MS Celeb)

    +

    Microsoft Celeb Dataset (MS Celeb)

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    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

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    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 -

    Dataset Title TBD

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    Dataset Title TBD

    (PAGE UNDER DEVELOPMENT)

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    -
    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 -

    Unconstrained College Students ...

    +

    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 -

    VIPeR Dataset

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    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 @@
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    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
    +
    + +
    +
    + +