From 27340ac4cd43f8eec7414495b541a65566ae2656 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Tue, 8 Oct 2019 16:02:47 +0200 Subject: update site, white --- site/public/datasets/helen/index.html | 94 ++++++++++++++++++++++++++++++++--- 1 file changed, 86 insertions(+), 8 deletions(-) (limited to 'site/public/datasets/helen/index.html') diff --git a/site/public/datasets/helen/index.html b/site/public/datasets/helen/index.html index 44ef462e..ffd432b9 100644 --- a/site/public/datasets/helen/index.html +++ b/site/public/datasets/helen/index.html @@ -4,7 +4,7 @@ MegaPixels: HELEN - + @@ -55,8 +55,7 @@
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HELEN Face Dataset
HELEN (under development) -

HELEN

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Example images from the HELEN dataset

HELEN Dataset

Published
2012
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Website
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[ page under development ]

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Helen is a dataset of annotated face images used for facial component localization. It includes 2,330 images from Flickr found by searching for "portrait" combined with terms such as "family", "wedding", "boy", "outdoor", and "studio". 1

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The dataset was published in 2012 with the primary motivation listed as facilitating "high quality editing of portraits". However, the paper's introduction also mentions that facial feature localization "is an essential component for face recognition, tracking and expression analysis." 1

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Irregardless of the authors' primary motivations, the HELEN dataset has become one of the most widely used datasets for training facial landmark algorithms, which are essential parts of most facial recogntion processing systems. Facial landmarking are used to isolate facial features such as the eyes, nose, jawline, and mouth in order to align faces to match a templated pose.

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An example annotation from the HELEN dataset showing 194 points that were originally annotated by Mechanical Turk workers. Graphic © 2019 MegaPixels.cc based on data from HELEN dataset by Le, Vuong et al.
An example annotation from the HELEN dataset showing 194 points that were originally annotated by Mechanical Turk workers. Graphic © 2019 MegaPixels.cc based on data from HELEN dataset by Le, Vuong et al.

This analysis shows that since its initial publication in 2012, the HELEN dataset has been used in over 200 research projects related to facial recognition with the vast majority of research taking place in China.

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Commercial use includes IBM, NVIDIA, NEC, Microsoft Research Asia, Google, Megvii, Microsoft, Intel, Daimler, Tencent, Baidu, Adobe, Facebook

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Military and Defense Usage includes NUDT

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http://eccv2012.unifi.it/

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TODO

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OrganizationPaperLinkYearUsed Duke MTMC
SenseTime, AmazonLook at Boundary: A Boundary-Aware Face Alignment Algorithm
2018year✔
SenseTimeReenactGAN: Learning to Reenact Faces via Boundary Transfer2018year✔
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The dataset was used for training the OpenFace software "we used the HELEN and LFPW training subsets for training and the rest for testing" https://github.com/TadasBaltrusaitis/OpenFace/wiki/Datasets

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The popular dlib facial landmark detector was trained using HELEN

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In addition to the 200+ verified citations, the HELEN dataset was used for

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It's been converted into new datasets including

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The original site

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Example Images

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An image from the HELEN dataset "wedding" category used for training face recognition 2839127417_1.jpg for outdoor studio
An image from the HELEN dataset "wedding" category used for training face recognition 2839127417_1.jpg for outdoor studio
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An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
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An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1
Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969
Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969
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Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969
Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969

Who used Helen Dataset?

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Information Supply chain

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Information Supply Chain

- To help understand how Helen Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Helen Dataset was 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. + To help understand how Helen Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Helen Dataset was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.

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Supplementary Information

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Age and Gender Distribution

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Age and gender estimation distribution were calculated by anlayzing all faces in the dataset images. This may include additional faces appearing next to an annotated face, or this may skip false faces that were erroneously included as part of the original dataset. These numbers are provided as an estimation and not a factual representation of the exact gender and age of all faces.

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Visualization of the HELEN dataset 194-point facial landmark annotations. Credit: graphic © MegaPixels.cc 2019, data from HELEN dataset by Zhou, Brand, Lin 2013. If you use this image please credit both the graphic and data source.
Visualization of the HELEN dataset 194-point facial landmark annotations. Credit: graphic © MegaPixels.cc 2019, data from HELEN dataset by Zhou, Brand, Lin 2013. If you use this image please credit both the graphic and data source.

Cite Our Work

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Cite the Original Author's Work

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If you find the HELEN dataset useful or reference it in your work, please cite the author's original work as:

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+@inproceedings{Le2012InteractiveFF,
+ title={Interactive Facial Feature Localization},
+ author={Vuong Le and Jonathan Brandt and Zhe L. Lin and Lubomir D. Bourdev and Thomas S. Huang},
+ booktitle={ECCV},
+ year={2012}
+}
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References

  • 1 abLe, Vuong et al. “Interactive Facial Feature Localization.” ECCV (2012). +