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authoradamhrv <adam@ahprojects.com>2019-03-22 00:01:56 +0100
committeradamhrv <adam@ahprojects.com>2019-03-22 00:01:56 +0100
commit354f14d755f62cbea97251fb4fa6bffa1e6a9650 (patch)
tree62cb14fd2bdc0f0b0e6a23fc58aa16ab8191858c /site/content/pages/datasets
parente6cd89c86204ec5512473fbff1d6a742bc0378c4 (diff)
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diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index 816485d7..0070fc55 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -6,7 +6,6 @@ desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in S
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
image: assets/background.jpg
year: 2015
published: 2019-2-23
diff --git a/site/content/pages/datasets/duke_mtmc/assets/background.jpg b/site/content/pages/datasets/duke_mtmc/assets/background.jpg
index fb76d97f..2275bd9e 100644..100755
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@@ -0,0 +1,121 @@
+------------
+
+status: published
+title: Duke Multi-Target, Multi-Camera Tracking
+desc: <span class="dataset-name">Duke MTMC</span> is a dataset of CCTV footage of students at Duke University
+subdesc: Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 cameras at Duke University campus in March 2014
+slug: duke_mtmc
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: March 19, 2014
++ Cameras: 8
++ Video Frames: 2,000,000
++ Identities: Over 2,000
++ Used for: Person re-identification, <br>face recognition
++ Sector: Academic
++ Website: <a href="http://vision.cs.duke.edu/DukeMTMC/">duke.edu</a>
+
+## Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)
+
+(PAGE UNDER DEVELOPMENT)
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+
+
+----
+
+## Research Notes
+
+- "DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where"
+- DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:
+
+ 8 static cameras x 85 minutes of 1080p 60 fps video
+ More than 2,000,000 manually annotated frames
+ More than 2,000 identities
+ Manual annotation by 5 people over 1 year
+ More identities than all existing MTMC datasets combined
+ Unconstrained paths, diverse appearance
+-
+DukeMTMC Project
+Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani
+
+People involved:
+Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi.
+
+Navigation:
+
+ Data Set
+ Downloads
+ Downloads
+ Dataset Extensions
+ Performance Measures
+ Tracking Systems
+ Publications
+ How to Cite
+ Contact
+
+Welcome to the Duke Multi-Target, Multi-Camera Tracking Project.
+
+DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where.
+DukeMTMC Data Set
+Snapshot from the DukeMTMC data set.
+
+DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:
+
+ 8 static cameras x 85 minutes of 1080p 60 fps video
+ More than 2,000,000 manually annotated frames
+ More than 2,000 identities
+ Manual annotation by 5 people over 1 year
+ More identities than all existing MTMC datasets combined
+ Unconstrained paths, diverse appearance
+
+News
+
+ 05 Feb 2019 We are organizing the 2nd Workshop on MTMCT and ReID at CVPR 2019
+ 25 Jul 2018: The code for DeepCC is available on github
+ 28 Feb 2018: OpenPose detections now available for download
+ 19 Feb 2018: Our DeepCC tracker has been accepted to CVPR 2018
+ 04 Oct 2017: A new blog post describes ID measures of performance
+ 26 Jul 2017: Slides from the BMTT 2017 workshop are now available
+ 09 Dec 2016: DukeMTMC is now hosted on MOTChallenge
+
+DukeMTMC Downloads
+
+ DukeMTMC dataset (tracking)
+
+Dataset Extensions
+
+Below is a list of dataset extensions provided by the community:
+
+ DukeMTMC-VideoReID (download)
+ DukeMTMC-reID (download)
+ DukeMTMC4REID
+ DukeMTMC-attribute
+
+If you use or extend DukeMTMC, please refer to the license terms.
+DukeMTMCT Benchmark
+
+DukeMTMCT is a tracking benchmark hosted on motchallenge.net. Click here for the up-to-date rankings. Here you will find the official motchallenge-devkit used for evaluation by MOTChallenge. For detailed instructions how to submit on motchallenge you can refer to this link.
+
+Trackers are ranked using our identity-based measures which compute how often the system is correct about who is where, regardless of how often a target is lost and reacquired. Our measures are useful in applications such as security, surveillance or sports. This short post describes our measures with illustrations, while for details you can refer to the original paper.
+Tracking Systems
+
+We provide code for the following tracking systems which are all based on Correlation Clustering optimization:
+
+ DeepCC for single- and multi-camera tracking [1]
+ Single-Camera Tracker (demo video) [2]
+ Multi-Camera Tracker (demo video, failure cases) [2]
+ People-Groups Tracker [3]
+ Original Single-Camera Tracker [4]
diff --git a/site/content/pages/datasets/hrt_transgender/index.md b/site/content/pages/datasets/hrt_transgender/index.md
new file mode 100644
index 00000000..0a4ec90d
--- /dev/null
+++ b/site/content/pages/datasets/hrt_transgender/index.md
@@ -0,0 +1,31 @@
+------------
+
+status: draft
+title: HRT Transgender Dataset
+desc: TBD
+subdesc: TBD
+slug: hrt_transgender
+cssclass: dataset
+image: assets/background.jpg
+year: 2015
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Published: TBD
++ Images: TBD
+
+## HRT Transgender Dataset
+
+
+{% include 'chart.html' %}
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
diff --git a/site/content/pages/datasets/ilids_vid/assets/background.jpg b/site/content/pages/datasets/ilids_vid/assets/background.jpg
deleted file mode 100644
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diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md
index 13e45b49..2e943fbe 100644
--- a/site/content/pages/datasets/index.md
+++ b/site/content/pages/datasets/index.md
@@ -13,4 +13,4 @@ sync: false
# Facial Recognition Datasets
-### Case Studies
+### Survey
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index b803efc5..b83bd6de 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -2,12 +2,11 @@
status: published
title: Labeled Faces in The Wild
-desc: Labeled Faces in The Wild (LFW) is the first facial recognition dataset created entirely from online photos
+desc: <span class="dataset-name">Labeled Faces in The Wild (LFW)</span> 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
year: 2007
-color: #ff0000
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
diff --git a/site/content/pages/datasets/mars/assets/background.jpg b/site/content/pages/datasets/market_1501/assets/background.jpg
index f3440590..f3440590 100644
--- a/site/content/pages/datasets/mars/assets/background.jpg
+++ b/site/content/pages/datasets/market_1501/assets/background.jpg
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index e866defd..e866defd 100644
--- a/site/content/pages/datasets/mars/assets/index.jpg
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diff --git a/site/content/pages/datasets/market_1501/index.md b/site/content/pages/datasets/market_1501/index.md
new file mode 100644
index 00000000..8d253c79
--- /dev/null
+++ b/site/content/pages/datasets/market_1501/index.md
@@ -0,0 +1,51 @@
+------------
+
+status: published
+title: Market-1501
+desc: <span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from ...
+subdesc: The Market-1501 dataset includes ...
+slug: market_1501
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
+
+
+## Market-1501 ...
+
+(PAGE UNDER DEVELOPMENT)
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+
+
+----
+
+## Research Notes
+
+- "MARS is an extension of the Market-1501 dataset. During collection, we placed six near synchronized cameras in the campus of Tsinghua university. There were Five 1,080*1920 HD cameras and one 640*480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras. Given a query tracklet, MARS aims to retrieve tracklets that contain the same ID." - main paper
+- bbox "0065C1T0002F0016.jpg", "0065" is the ID of the pedestrian. "C1" denotes the first
+camera (there are totally 6 cameras). "T0002" means the 2th tracklet. "F016" is the 16th frame
+within this tracklet. For the tracklets, their names are accumulated for each ID; but for frames,
+they start from "F001" in each tracklet.
+
+@proceedings{zheng2016mars,
+title={MARS: A Video Benchmark for Large-Scale Person Re-identification},
+author={Zheng, Liang and Bie, Zhi and Sun, Yifan and Wang, Jingdong and Su, Chi and Wang, Shengjin and Tian, Qi},
+booktitle={European Conference on Computer Vision},
+year={2016},
+organization={Springer}
+} \ No newline at end of file
diff --git a/site/content/pages/datasets/mars/index.md b/site/content/pages/datasets/mars/index.md
deleted file mode 100644
index 2b3192f3..00000000
--- a/site/content/pages/datasets/mars/index.md
+++ /dev/null
@@ -1,36 +0,0 @@
-------------
-
-status: published
-title: MARS
-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
-published: 2019-2-23
-updated: 2019-2-23
-authors: Adam Harvey
-
-------------
-
-### sidebar
-
-+ Collected: TBD
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-
-
-## 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.
-
-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' %}
-
-{% include 'supplementary_header.html' %}
-
-{% include 'citations.html' %} \ No newline at end of file
diff --git a/site/content/pages/datasets/pipa/index.md b/site/content/pages/datasets/pipa/index.md
new file mode 100644
index 00000000..d4a7ec43
--- /dev/null
+++ b/site/content/pages/datasets/pipa/index.md
@@ -0,0 +1,37 @@
+------------
+
+status: published
+title: People in Photo Albums
+desc: <span class="dataset-name"> is a dataset...
+subdesc: PIPA subdescription
+slug: pipa
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
+
+
+## Dataset Title TBD
+
+(PAGE UNDER DEVELOPMENT)
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+
+
+----
+
+## Research Notes
diff --git a/site/content/pages/datasets/uccs/assets/background.jpg b/site/content/pages/datasets/uccs/assets/background.jpg
index db6b0180..ec6c5196 100644..100755
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deleted file mode 100644
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diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md
index b41aaeb1..fe928308 100644
--- a/site/content/pages/datasets/uccs/index.md
+++ b/site/content/pages/datasets/uccs/index.md
@@ -1,32 +1,39 @@
------------
-status: draft
+status: published
title: Unconstrained College Students
-desc: UCCS: Unconstrained College Students
+desc: <span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of images ...
+subdesc: The UCCS dataset includes ...
slug: uccs
-published: 2019-02-23
-updated: 2019-02-23
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
authors: Adam Harvey
------------
-# Unconstrained College Students
+### sidebar
-+ Years: 2012-2013
-+ Images: 16,149
-+ Identities: 4,362
-+ Origin: Colorado Springs Campus
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
-![fullwidth:Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey](images/uccs_index.gif)
+## Unconstrained College Students ...
-**Unconstrained College Students** is a large-scale, unconstrained face detection and recognition dataset. It includes
+(PAGE UNDER DEVELOPMENT)
-The UCCS includes...
+{% include 'map.html' %}
+{% include 'supplementary_header.html' %}
+{% include 'citations.html' %}
-### Funding Sources
+
+
+### Research Notes
The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:
@@ -42,33 +49,5 @@ The more recent UCCS version of the dataset received funding from [^funding_uccs
-### Citations
-
-[add map here]
-
-[add citations table here]
-
-
-![fullwidth:Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey](images/uccs_synthetic.jpg)
-
-### Notes
-
-- Images from UCCS are not available for public display. Instead a pixellated, redacted, and colored interpretation has been displayed here. The full images are available here.
-- Images can be downloaded from...
-
-### Resources
-
-- Download video
-- links to UCCS
-- download synthetic images
-
-### Image Terms of Use
-
-- All images are ©Adam Harvey / megapixels.cc
-- You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations.
-- Please use the following citation:
-
-```MegaPixels.cc Adam Harvey 2013-2019.```
-
[^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3. \ No newline at end of file
diff --git a/site/content/pages/datasets/viper/index.md b/site/content/pages/datasets/viper/index.md
index 574fe65c..75f4aae3 100644
--- a/site/content/pages/datasets/viper/index.md
+++ b/site/content/pages/datasets/viper/index.md
@@ -2,11 +2,10 @@
status: published
title: VIPeR
-desc: VIPeR is a person re-identification dataset of images captured at UC Santa Cruz in 2007
+desc: <span class="dataset-name">VIPeR</span> 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
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