Image Classification on Maize Disease Classification (test)
97.67AccuracyResNet50
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ResNet50Parameters=23981892, GFLOPs=7.752, Pre-training=ImageNet, Evaluation Protocol=Fine-tuned2026.01 | 97.67 | 12.61 | |
| VGG16Parameters=14813956, GFLOPs=30.713, Pre-training=ImageNet, Evaluation Protocol=Fine-tuned2026.01 | 97.15 | 3.16 | |
| MobileNetV1Parameters=3404548, GFLOPs=1.146, Pre-training=ImageNet, Evaluation Protocol=Fine-tuned2026.01 | 96.89 | 84.72 | |
| LWMSCNN-SEParameters=241348, GFLOPs=0.666, Pre-training=ImageNet, Evaluation Protocol=Fine-tuned2026.01 | 96.63 | 145.31 | |
| EfficientNet-B0Parameters=4254272, GFLOPs=0.801, Pre-training=ImageNet, Evaluation Protocol=Fine-tuned2026.01 | 94.3 | 117.83 |