This webpage provides resources for the joint research performed by the Computer Vision lab at the Open University of Israel (OUI) and Adience on analysis of face images.
Our goal is to provide open research resources reflecting the challenges of modern face recognition and processing tasks. These include comprehensive and challenging face image collections as well as code for alignment and recognition.
Please check here soon for updates!
News
- Apr. 26th, 2015 - Our face frontalization paper accepted to CVPR 2015!
- Apr. 26th, 2015 - Our paper on age and gender classification using convolutional neural networks has been accepted to the CVPR 2015 workshop on Analysis and Modeling of Faces and Gestures
- Dec. 15th, 2014 - A number of gender label errors have been corrected in the Adience benchmark. Please see data page for further details.
- Dec. 1st, 2014 - Face frontalization arXiv paper, code and data now available.
- Nov. 17th, 2014 - We have corrected a few errors in the split files used with the Adience unfiltered images for age and gender estimation. Please see data page for further details.
- May 10th, 2014 - Site launched.