{"repo":"visionjo/facerec-bias-bfw","free":true,"listed":false,"github":"https://github.com/visionjo/facerec-bias-bfw","clone":"git clone https://github.com/visionjo/facerec-bias-bfw.git","description":"Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).","language":"Jupyter Notebook","stars":52,"topics":["face-recognition","bias","bias-mitigation","python","data-analysis","data-visualization","dataset","computer-vision","machine-learning","classification"],"license":"BSD-3-Clause","category":"machine-learning","readme_excerpt":"Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. \" Face recognition: Too Bias, or Bot Too Bias? \" In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , pp. 0-1. 2020. Download Data on Dropbox . Raw facial crops are also on IEEEDataPort . @inproceedings{robinson2020face, title={Face recognition: too Bias, or not too Bias?}, author={Robinson, Joseph P and Livitz, Gennady and Henon, Yann and Qin, Can and Fu, Yun and Timoner, Samson}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops}, pages={0--1}, year={2020} } Robinson, Joseph P., Can Qin, Yann Henon, Samson Timoner, and Yun Fu. \" Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. \" In CoRR arXiv:2103.09118 , (2021). @article{robinson2021balancing, title={Balancing Biases and Preserving Privacy on Balanced Faces in the Wild}, author={Robinson, Joseph P. and Qin, Can and Henon, Yann and Timoner, Samson and Fu, Yun}, journal={arXiv preprint arXiv:2103.09118}, year={2021} } Balanced Faces in the Wild (BFW): Data, Code, Evaluations version : 0.4.5 (following Semantic Versioning Scheme-- learn more here, https://semver.org) Intended to address bias in facial recognition, we built BFW as a labeled data resource for evaluating recognition systems on a corpus of facial imagery with an equal number of faces for all subjects: EQUAL across dem","default_branch":null,"files":null,"tree":[],"storefront":"/r/visionjo","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/visionjo/facerec-bias-bfw/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}