Table 2 Class-wise distribution of images in training, validation, and test sets for Dataset D1 and D2, and cross-dataset validation set D3 (test only).
From: An attention enhanced CNN ensemble for interpretable and accurate cotton leaf disease classification
Dataset D1 | Dataset D2 | Dataset D3 (Cross-Dataset Test) | |||||||
|---|---|---|---|---|---|---|---|---|---|
Class | Train | Val | Test | Class | Train | Val | Test | Class | Test |
Aphids | 320 | 40 | 40 | Bacterial Blight | 358 | 44 | 46 | Aphids | 519 |
Army worm | 320 | 40 | 40 | Curl Virus | 333 | 41 | 43 | Army worm | 560 |
Bacterial Blight | 320 | 40 | 40 | Fusarium Wilt | 335 | 41 | 43 | Bacterial Blight | 485 |
Healthy | 320 | 40 | 40 | Healthy | 340 | 42 | 43 | Healthy | 532 |
Powdery Mildew | 320 | 40 | 40 | Powdery Mildew | 513 | ||||
Target Spot | 320 | 40 | 40 | Target Spot | 471 | ||||
