Classification On Spot 10
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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