Views
No views yet
Karkkainen, Kimmo, and Joo, Jungseock.
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1548–1558.
FairFace Dataset on GitHub
| Model | Target | top1_acc | Classes | Dataset size | Training Resolution |
|---|---|---|---|---|---|
| Race-CLS-FairFace_yolov8n | Face: Real | 0.717 | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White) | ~86740(train), ~10950(val) | 224 |
| Race-CLS-FairFace_yolov8s | Face: Real | 0.721 | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White) | ~86740(train), ~10950(val) | 224 |
| Race-CLS-FairFace_yolov8m | Face: Real | 0.725 | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White) | ~86740(train), ~10950(val) | 224 |
| Race-CLS-FairFace_yolo11l | Face: Real | 0.733 | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White) | ~86740(train), ~10950(val) | 224 |
| Race-CLS-FairFace_yolo11x | Face: Real | 0.735 | 7(Black, East Asian, Indian, Latino_Hispanic, Middle Eastern, Southeast Asian, White) | ~86740(train), ~10950(val) | 224 |