Gender Classification on Lagenda (test)
96.89Gender AccuracyVOLO-D1 face
Evaluation results
| Method | Links | |
|---|---|---|
| VOLO-D1 faceOutput=age & gender, Train Dataset=Lagenda train2023.07 | 96.89 | |
| VOLO-D1 faceOutput=age & gender, Train Dataset=IMDB-clean, Released=true2023.07 | 90.86 | |
| VOLO-D1 faceOutput=age & gender, Train Dataset=UTKFace, Released=true2023.07 | 83.27 |