Table 6 Class-wise distribution of images in dataset 1, dataset 2, and the WMDD dataset.
From: Deep learning framework using UAV imagery for multi-disease detection in cereal crops
Disease Class | Dataset 1 Instances | Dataset 2 Instances | Total (WMDD) |
|---|---|---|---|
Powdery Mildew | 542 | 211 | 753 |
Wheat Scab | 523 | 118 | 641 |
Yellow Dwarf | 599 | — | 599 |
Stripe Rust | 572 | 111 | 683 |
Total | — | — | 2,676 |
