Face Verification On Labeled Faces In The
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| deep-learning-face-representation-from-1 | 97.05% |
| dlib-ml-a-machine-learning-toolkit | 99.38% |
| deepface-closing-the-gap-to-human-level-1 | 98.37% |
| arcface-additive-angular-margin-loss-for-deep | 99.83% |
| openface-a-general-purpose-face-recognition | 92.92% |
| facenet-a-unified-embedding-for-face | 99.63% |
| deep-face-recognition | 98.78% |