Bean leaf disease classification on iBean 128 samples standard (test)
99.24AccuracyMobileNetV2
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MobileNetV2Source=Önler 2023 [8]2026.04 | 99.24 | — | |
| EfficientNetB7 + FCSource=Ours2026.04 | 99.22 | 99.22 | |
| EfficientNetB7 + LSTMSource=Ours2026.04 | 99.22 | 99.22 | |
| Transformer+CNNSource=Karthik et al., 2025 [46]2026.04 | 97.66 | 97.67 | |
| DenseNet121Source=Suntoyo et al., 2024 [44]2026.04 | 96.9 | 97 | |
| MobileNetV2Source=Elfatimi et al., 2022 [9]2026.04 | 92.97 | 92.94 | |
| EfficientnetB6Source=Singh et al., 2023 [43]2026.04 | 91.74 | — | |
| DenseNet121Source=Abed et al., 2021 [42]2026.04 | 91.02 | — | |
| InceptionV3Source=Jain & Aneja 2025 [45]2026.04 | 91 | 91 |