Leaf Disease Classification on Apple Dataset (test)
95.42AccuracyCBAM-VGG16
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CBAM-VGG162025.12 | 95.42 | 0.41 | 95.27 | 95.42 | 95.27 | 99.05 | 90 | |
| Thakur et al. [28]2025.12 | 94.62 | 0.43 | 94.62 | 94.62 | 94.62 | 98.08 | 92 | |
| Tong Li et al.2025.12 | 93.89 | — | 93.84 | — | 93.8 | — | — | |
| Thakur et al. [27]2025.12 | 93.55 | 0.3 | 93.55 | 93.55 | 93.55 | 97.01 | 91 | |
| Chen et al. [25]2025.12 | 87.1 | 0.73 | 87.1 | 87.1 | 87.1 | 95.02 | 81 | |
| Yang et al.2025.12 | 85.48 | 0.49 | 85.71 | 83.87 | 84.78 | 96.44 | 79 | |
| Chen et al. [9]2025.12 | 83.33 | 0.79 | 83.7 | 82.8 | 83.25 | 94.1 | 76 | |
| Chen et al. [23]2025.12 | 83.33 | 0.63 | 85.47 | 82.26 | 83.83 | 95.59 | 76 | |
| Karthik et al.2025.12 | 62.37 | 1.56 | 62.84 | 61.83 | 62.35 | 83.53 | 45 | |
| Li et al.2025.12 | 41.94 | 1.34 | 44.59 | 35.48 | 39.52 | 71.68 | 16 |