Classification On Spot 10
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MobileNetV3Small Distiller | 78.04 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| DenseNet121 Distiller | 81.84 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| ResNet101V2 Distiller | 80.29 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| MobileNetV3Large Distiller | 77.88 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| MobileNet Distiller | 78.26 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| NASNetMobile Distiller | 77.75 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| MobileNetV2 Distiller | 77.53 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| ResNet50 Distiller | 77.45 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms | |
| ResNet50V2 Distiller | 79.03 | SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms |
0 of 9 row(s) selected.