Lightweight Face Recognition On Agedb 30
Metriken
Accuracy
MParams
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy | MParams |
|---|---|---|
| seesawfacenets-sparse-and-robust-face | 0.9648 | 2.8 |
| edgeface-efficient-face-recognition-model-for | 0.96 | 1.77 |
| edgeface-efficient-face-recognition-model-for | 0.9693 | 3.65 |
| mobilefacenets-efficient-cnns-for-accurate | 0.9305 | - |
| pocketnet-extreme-lightweight-face | 0.9635 | - |