From 0bede27de3bcc0c7f03d16c7607a0ae693daebc7 Mon Sep 17 00:00:00 2001
From: Jules Laplace
- 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 LaplaceCitations 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 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 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 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 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 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 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 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 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 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 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 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 were collected from Semantic Scholar, a website which aggregates - and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train and/or test machine learning algorithms. + and indexes research papers. The citations were geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
Add [button/link] to download CSV. Add search input field to filter.
--
cgit v1.2.3-70-g09d2
From 2d8b7dd6ea6ccb0293c8839898cf7a1246dc0eb4 Mon Sep 17 00:00:00 2001
From: Jules Laplace
- To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+ To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full }} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
Explore publicly available facial recognition datasets. More datasets will be added throughout 2019. As the resolution
+formatted as rectangular databases of 16 bit RGB-tuples or 8 bit grayscale values To consider how visual privacy applies to real world surveillance situations, the first A single 8-bit grayscale pixel with 256 values is enough to represent the entire alphabet A 2x2 pixels contains Using no more than a 42 pixel (6x7 image) face image researchers [cite] were able to correctly distinguish between a group of 50 people. Yet The likely outcome of face recognition research is that more data is needed to improve. Indeed, resolution is the determining factor for all biometric systems, both as training data to increase Pixels, typically considered the buiding blocks of images and vidoes, can also be plotted as a graph of sensor values corresponding to the intensity of RGB-calibrated sensors. Wi-Fi and cameras presents elevated risks for transmitting videos and image documentation from conflict zones, high-risk situations, or even sharing on social media. How can new developments in computer vision also be used in reverse, as a counter-forensic tool, to minimize an individual's privacy risk? As the global Internet becomes increasingly effecient at turning the Internet into a giant dataset for machine learning, forensics, and data analysing, it would be prudent to also consider tools for decreasing the resolution. The Visual Defense module is just that. What are new ways to minimize the adverse effects of surveillance by dulling the blade. For example, a researcher paper showed that by decreasing a face size to 12x16 it was possible to do 98% accuracy with 50 people. This is clearly an example of This research module, tentatively called Visual Defense Tools, aims to explore the What all 3 examples illustrate is that face recognition is anything but absolute. In a 2017 talk, Jason Matheny the former directory of IARPA, admitted the face recognition is so brittle it can be subverted by using a magic marker and drawing "a few dots on your forehead". In fact face recognition is a misleading term. Face recognition is search engine for faces that can only ever show you the mos likely match. This presents real a real threat to privacy and lends Globally, iPhone users unwittingly agree to 1/1,000,000 probably
+relying on FaceID and TouchID to protect their information agree to a NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips↩ for i in {1..9};do wget http://visiond1.cs.umbc.edu/webpage/codedata/ADLdataset/ADL_videos/P_0$i.MP4;done;for i in {10..20}; do wget http://visiond1.cs.umbc.edu/webpage/codedata/ADLdataset/ADL_videos/P_$i.MP4;done The 27 attributes are: source: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/h3d/ =INDEX(A2:A9,MATCH(datasets!D1,B2:B9,0))
+=VLOOKUP(A2, datasets!A:J, 7, FALSE) Right ankle
+Right knee
+Right hip
+Left hip
+Left knee
+Left ankle
+Right wrist
+Right elbow
+Right shoulder
+Left shoulder
+Left elbow
+Left wrist
+Neck
+Head top source: http://web.archive.org/web/20170915023005/sam.johnson.io/research/lsp.htmlFacial Recognition Datasets
-Survey
+a-Z0-9 with room to spare.Prior Research
+
+
+Notes
+
+
+
From Market 1501
@@ -269,6 +270,24 @@ Visibility boolean for each keypoint
Region annotations (upper clothes, lower clothes, dress, socks, shoes, hands, gloves, neck, face, hair, hat, sunglasses, bag, occluder)
Body type (male, female or child)
From Leeds Sports Pose
+Research Blog
-Research
+
+