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Leaf Disease Classification on Sesame leaf disease dataset (test)
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97.32
Accuracy
Proposed framework
95.6976
96.1188
96.54
96.9612
Jun 22, 2026
Accuracy
Precision
Recall
F1-score
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Precision
Recall
F1-score
Proposed framework
2026.06
97.32
96.96
97.16
97.04
DenseNet-121
2026.06
96.75
96.67
96.54
96.58
Swin-Tiny
2026.06
96.47
95.83
96.88
96.28
ResNet-50
2026.06
96.19
95.57
96.04
95.74
EfficientNet-B0
2026.06
95.9
95.61
95.46
95.53
MobileNet-V2
2026.06
95.76
95.26
95.12
95.19
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