diff options
Diffstat (limited to 'site/content/pages/datasets')
| -rw-r--r-- | site/content/pages/datasets/50_people_one_question/index.md | 8 | ||||
| -rw-r--r--[-rwxr-xr-x] | site/content/pages/datasets/brainwash/assets/background.jpg | bin | 86425 -> 78860 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/brainwash/assets/background_540.jpg | bin | 0 -> 83594 bytes | |||
| -rwxr-xr-x | site/content/pages/datasets/brainwash/assets/background_600.jpg | bin | 0 -> 86425 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/brainwash/index.md | 18 | ||||
| -rw-r--r-- | site/content/pages/datasets/celeba/index.md | 4 | ||||
| -rw-r--r-- | site/content/pages/datasets/cofw/index.md | 9 | ||||
| -rw-r--r-- | site/content/pages/datasets/kitti/index.md | 42 | ||||
| -rw-r--r-- | site/content/pages/datasets/lfw/index.md | 12 | ||||
| -rw-r--r-- | site/content/pages/datasets/mars/index.md | 8 | ||||
| -rw-r--r-- | site/content/pages/datasets/viper/assets/index.jpg | bin | 0 -> 17294 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/viper/index.md | 40 |
12 files changed, 75 insertions, 66 deletions
diff --git a/site/content/pages/datasets/50_people_one_question/index.md b/site/content/pages/datasets/50_people_one_question/index.md index e7dec0aa..2276e386 100644 --- a/site/content/pages/datasets/50_people_one_question/index.md +++ b/site/content/pages/datasets/50_people_one_question/index.md @@ -1,6 +1,6 @@ ------------ -status: published +status: draft title: 50 People One Question desc: <span style="color:#ffaa00">People One Question</span> is a dataset of people from an online video series on YouTube and Vimeo used for building facial recogntion algorithms subdesc: People One Question dataset includes ... @@ -23,9 +23,11 @@ authors: Adam Harvey ## 50 People 1 Question - 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. +(PAGE UNDER DEVELOPMENT) - 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 +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 {% include 'map.html' %} diff --git a/site/content/pages/datasets/brainwash/assets/background.jpg b/site/content/pages/datasets/brainwash/assets/background.jpg Binary files differindex 8f2de697..e6393ab5 100755..100644 --- a/site/content/pages/datasets/brainwash/assets/background.jpg +++ b/site/content/pages/datasets/brainwash/assets/background.jpg diff --git a/site/content/pages/datasets/brainwash/assets/background_540.jpg b/site/content/pages/datasets/brainwash/assets/background_540.jpg Binary files differnew file mode 100644 index 00000000..5c8c0ad4 --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/background_540.jpg diff --git a/site/content/pages/datasets/brainwash/assets/background_600.jpg b/site/content/pages/datasets/brainwash/assets/background_600.jpg Binary files differnew file mode 100755 index 00000000..8f2de697 --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/background_600.jpg diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md index 5fe0da4c..816485d7 100644 --- a/site/content/pages/datasets/brainwash/index.md +++ b/site/content/pages/datasets/brainwash/index.md @@ -2,8 +2,8 @@ status: published title: Brainwash -desc: Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms -subdesc: Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" +desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco +subdesc: The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection algorithms slug: brainwash cssclass: dataset color: #ffaa00 @@ -17,22 +17,22 @@ authors: Adam Harvey ### sidebar -+ Collected: 2014 + Published: 2015 + Images: 11,918 + Faces: 91,146 + Created by: Stanford Department of Computer Science + Funded by: Max Planck Center for Visual Computing and Communication -+ Resolution: 640x480px -+ Size: 4.1GB -+ Origin: Brainwash Cafe, San Franscisco ++ Location: Brainwash Cafe, San Franscisco + Purpose: Training face detection + Website: <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">stanford.edu</a> + Paper: <a href="http://arxiv.org/abs/1506.04878">End-to-End People Detection in Crowded Scenes</a> ++ Explicit Consent: No ## Brainwash Dataset +(PAGE UNDER DEVELOPMENT) + *Brainwash* is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe[^readme]". 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. @@ -43,13 +43,17 @@ Since it's publication by Stanford in 2015, the Brainwash dataset has appeared i  +{% include 'chart.html' %} + {% include 'map.html' %} +Add more analysis here + + {% include 'supplementary_header.html' %} {% include 'citations.html' %} -{% include 'chart.html' %} ### Additional Information diff --git a/site/content/pages/datasets/celeba/index.md b/site/content/pages/datasets/celeba/index.md index 19b0291d..a2669cf6 100644 --- a/site/content/pages/datasets/celeba/index.md +++ b/site/content/pages/datasets/celeba/index.md @@ -1,6 +1,6 @@ ------------ -status: published +status: draft title: CelebA desc: <span style="color:#ffaa00">CelebA</span> is a dataset of people... subdesc: CelebA includes... @@ -23,6 +23,8 @@ authors: Adam Harvey ## CelebA +(PAGE UNDER DEVELOPMENT) + At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat diff --git a/site/content/pages/datasets/cofw/index.md b/site/content/pages/datasets/cofw/index.md index 3b1cdb2b..d017f405 100644 --- a/site/content/pages/datasets/cofw/index.md +++ b/site/content/pages/datasets/cofw/index.md @@ -1,6 +1,6 @@ ------------ -status: published +status: draft title: Caltech Occluded Faces in The Wild desc: COFW: Caltech Occluded Faces in The Wild slug: cofw @@ -10,7 +10,8 @@ authors: Adam Harvey ------------ -# Caltech Occluded Faces in The Wild + +### sidebar + Years: 1993-1996 + Images: 14,126 @@ -19,9 +20,9 @@ authors: Adam Harvey + Funded by: ODNI, IARPA, Microsoft -<!--header--> +## Caltech Occluded Faces in the Wild - +(PAGE UNDER DEVELOPMENT) COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion]. diff --git a/site/content/pages/datasets/kitti/index.md b/site/content/pages/datasets/kitti/index.md deleted file mode 100644 index 25d0da69..00000000 --- a/site/content/pages/datasets/kitti/index.md +++ /dev/null @@ -1,42 +0,0 @@ ------------- - -status: published -title: KITTI -desc: <span style="color:#ffaa00">Kitti</span> TBD -subdesc: TBD -slug: kitti -cssclass: dataset -image: assets/background.jpg -year: 2015 -published: 2019-2-23 -updated: 2019-2-23 -authors: Adam Harvey - ------------- - -### sidebar - -+ Collected: TBD - -## Kitti - -add text - -{% include 'map.html' %} - - -{% include 'supplementary_header.html' %} - -{% include 'citations.html' %} - - -### Additional Information - -- The dataset author spoke about his research at the CVPR conference in 2016 <https://www.youtube.com/watch?v=Nl2fBKxwusQ> - - -### Footnotes - -[^readme]: "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385. -[^localized_region_context]: 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. -[^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.
\ No newline at end of file diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md index 833c6963..b803efc5 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -2,15 +2,12 @@ status: published title: Labeled Faces in The Wild -desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition. -subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004. +desc: Labeled Faces in The Wild (LFW) is the first facial recognition dataset created entirely from online photos +subdesc: 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. image: assets/background.jpg slug: lfw -<<<<<<< HEAD year: 2007 -======= color: #ff0000 ->>>>>>> e6c50e5550275b8e9d2245201c77c6f9fef7a11a published: 2019-2-23 updated: 2019-2-23 authors: Adam Harvey @@ -36,6 +33,8 @@ authors: Adam Harvey ## Labeled Faces in the Wild +(PAGE UNDER DEVELOPMENT) + *Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of *Names of Faces* and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are... @@ -52,11 +51,12 @@ The *Names and Faces* dataset was the first face recognition dataset created ent {% include 'map.html' %} +{% include 'chart.html' %} + {% include 'supplementary_header.html' %} {% include 'citations.html' %} -{% include 'chart.html' %} ### Commercial Use diff --git a/site/content/pages/datasets/mars/index.md b/site/content/pages/datasets/mars/index.md index 19f9ced4..2b3192f3 100644 --- a/site/content/pages/datasets/mars/index.md +++ b/site/content/pages/datasets/mars/index.md @@ -2,8 +2,8 @@ status: published title: MARS -desc: <span style="color:#ffaa00">MARS</span> is a dataset of people... -subdesc: MARS includes... +desc: <span style="color:#99ccee">Motion Analysis and Re-identification Set (MARS)</span> is a dataset is collection of CCTV footage +subdesc: The MARS dataset includes 1,191,003 of people used for training person re-identification algorithms slug: mars cssclass: dataset image: assets/background.jpg @@ -21,7 +21,9 @@ authors: Adam Harvey + Faces: TBD -## 50 MARS +## Motion Analysis and Re-identification Set (MARS) + +(PAGE UNDER DEVELOPMENT) At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. diff --git a/site/content/pages/datasets/viper/assets/index.jpg b/site/content/pages/datasets/viper/assets/index.jpg Binary files differnew file mode 100644 index 00000000..6eaa365c --- /dev/null +++ b/site/content/pages/datasets/viper/assets/index.jpg diff --git a/site/content/pages/datasets/viper/index.md b/site/content/pages/datasets/viper/index.md new file mode 100644 index 00000000..574fe65c --- /dev/null +++ b/site/content/pages/datasets/viper/index.md @@ -0,0 +1,40 @@ +------------ + +status: published +title: VIPeR +desc: VIPeR is a person re-identification dataset of images captured at UC Santa Cruz in 2007 +subdesc: 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 +slug: viper +cssclass: dataset +color: #ffaa00 +image: assets/background.jpg +year: 2007 +published: 2019-2-23 +updated: 2019-2-23 +authors: Adam Harvey + +------------ + +### sidebar + ++ Published: 2007 ++ Images: 1,264 ++ Persons: 632 ++ Created by: UC Santa Cruz + +## VIPeR Dataset + +(PAGE UNDER DEVELOPMENT) + +*VIPeR (Viewpoint Invariant Pedestrian Recognition)* is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way." + +VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute). + + +{% include 'chart.html' %} + +{% include 'map.html' %} + +{% include 'supplementary_header.html' %} + +{% include 'citations.html' %}
\ No newline at end of file |
