Image Classification on Custom Dataset-1
99.75AccuracyProposed (Hybrid)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Proposed (Hybrid)2026.01 | 99.75 | 99.76 | 99.75 | 99.75 | |
| MobileNetV22026.01 | 90.45 | 76.96 | 81.51 | 79.68 | |
| MobileNetV32026.01 | 90.15 | 90.15 | 90.15 | 89.53 | |
| EfficientNetB02026.01 | 89.85 | 89.85 | 89.85 | 88.57 | |
| ResNet152V22026.01 | 83.58 | 85.22 | 80.83 | 80.23 | |
| ResNet50V22026.01 | 72.07 | 74.33 | 72.07 | 71.91 | |
| InceptionV32026.01 | 70.15 | 78.03 | 67.45 | 66.82 |