Image Classification on Custom Dataset 2
98.66AccuracyProposed (Hybrid)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Proposed (Hybrid)2026.01 | 98.66 | 98.69 | 98.66 | 98.66 | |
| EfficientNetB02026.01 | 93.69 | 94.02 | 93.69 | 93.65 | |
| MobileNetV32026.01 | 91.21 | 91.63 | 91.21 | 93.65 | |
| ResNet152V22026.01 | 90.77 | 91.45 | 89.76 | 90.08 | |
| MobileNetV22026.01 | 85.81 | 88.48 | 83.55 | 82.71 | |
| InceptionV32026.01 | 72.52 | 77.78 | 71.49 | 72.14 | |
| ResNet50V22026.01 | 65.61 | 72.89 | 65.61 | 66.26 |