Image Classification on chili disease (test)
99.2AccuracyXMACNet
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| XMACNetModel Size (MB)=28.7, Inference (ms)=28.02026.03 | 99.2 | 95.8 | 98.3 | |
| Swin TransformerModel Size (MB)=24.5, Inference (ms)=50.1, variant=Shifted-Window variant2026.03 | 93.5 | 93.2 | 97 | |
| ResNet-50Model Size (MB)=98.4, Inference (ms)=32.5, pre-training=ImageNet pre-trained2026.03 | 92.1 | 91.9 | 96.7 | |
| MobileNetV2Model Size (MB)=14.4, Inference (ms)=20.82026.03 | 90.3 | 90.1 | 95.2 |