Table 4.
Quantitative analysis of proposed classifiers experimental work.
| Classification | Types | No of images | Segmented and non-segmented images | ||
|---|---|---|---|---|---|
| Training images | Validation images | Testing images | |||
| Binary Class | Healthy | 1519 | 1095x10 = 10950 | 121 | 303 |
| Affected | 16750 | 12075 | 1340 | 3350 | |
| Multi-Class(6 Classes) | Healthy | 1519 | 1093 | 121 | 303 |
| Fungi | 5115 | 3682 | 409 | 1023 | |
| Mold | 1898 | 1366 | 151 | 379 | |
| Virus | 5744 | 4135 | 459 | 1148 | |
| Bacteria | 2154 | 1550 | 172 | 430 | |
| Mite | 1839 | 1324 | 147 | 367 | |
| Different classes(Ten classes) | Healthy | 1519 | 1093 | 121 | 303 |
| Early Blight | 1050 | 756 | 84 | 210 | |
| Target spot | 1454 | 1046 | 116 | 290 | |
| Septoria leaf spot | 1721 | 1239 | 137 | 344 | |
| Bacterial spot | 2177 | 1567 | 174 | 435 | |
| Leaf Mold | 902 | 649 | 72 | 180 | |
| Late Bright Mold | 1960 | 1411 | 156 | 392 | |
| Tomato yallow leaf curl virus | 5307 | 3821 | 424 | 1061 | |
| tomato mosic virus | 373 | 268 | 29 | 74 | |