YOLOv6-Face
Features
- Face detection and landmarks localization
- Repulsion loss
- Same-channel Dehead
Performance on WIDERFACE
| Model | Size | Easy | Medium | Hard | SpeedT4 trt fp16 b1 (fps) |
SpeedT4 trt fp16 b32 (fps) |
Params (M) |
FLOPs (G) |
|---|---|---|---|---|---|---|---|---|
| YOLOv6-N | 640 | 95.0 | 92.4 | 80.4 | 797 | 1313 | 4.63 | 11.35 |
| YOLOv6-S | 640 | 96.2 | 94.7 | 85.1 | 339 | 484 | 12.41 | 32.45 |
| YOLOv6-M | 640 | 97.0 | 95.3 | 86.3 | 188 | 240 | 24.85 | 70.59 |
| YOLOv6-L | 640 | 97.2 | 95.9 | 87.5 | 102 | 121 | 56.77 | 159.24 |
- All checkpoints are fine-tuned from COCO pretrained model for 300 epochs without distillation.
- Results of the mAP and speed are evaluated on WIDER FACE dataset with the input resolution of 640×640.
- Speed is tested with TensorRT 8.2 on T4.
- Refer to Test speed tutorial to reproduce the speed results of YOLOv6.
- Params and FLOPs of YOLOv6 are estimated on deployed models.