Face Detection On Fddb
Metrics
AP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP |
|---|---|
| ifq-net-integrated-fixed-point-quantization | 0.84 |
| pyramidbox-a-context-assisted-single-shot | 0.987 |
| condensation-net-memory-efficient-network | - |
| a-fast-and-accurate-unconstrained-face | 0.864 |
| s3fd-single-shot-scale-invariant-face | 0.983 |
| hyperface-a-deep-multi-task-learning | 0.901 |
| detecting-faces-using-region-based-fully | 0.990 |
| faceboxes-a-cpu-real-time-face-detector-with | 0.960 |
| dsfd-dual-shot-face-detector | 0.991 |
| selective-refinement-network-for-high | 0.988 |
| lffd-a-light-and-fast-face-detector-for-edge | 0.973 |