Solar Panel Defect Detection on Solar Panel Defect Detection dataset
0.9917AccuracyDenseNet-169 + Gabor
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DenseNet-169 + GaborClassifier=SVM2026.04 | 0.9917 | 0.9916 | 0.9901 | 0.9917 | |
| DenseNet-169 + LBPClassifier=SVM2026.04 | 0.9901 | 0.99 | 0.9801 | 0.9901 | |
| DenseNet-169 + HOGClassifier=LGBM2026.04 | 0.9818 | 0.9833 | 0.9817 | 0.9818 | |
| DenseNet-169 + LBPClassifier=LGBM2026.04 | 0.981 | 0.9801 | 0.981 | 0.981 | |
| DenseNet-169 + GaborClassifier=LGBM2026.04 | 0.9794 | 0.9801 | 0.9794 | 0.9793 | |
| DenseNet-169 + GaborClassifier=XGBoost2026.04 | 0.9769 | 0.9766 | 0.9755 | 0.9766 | |
| DenseNet-169 + HOGClassifier=XGBoost2026.04 | 0.9728 | 0.9701 | 0.9728 | 0.9727 | |
| DenseNet-169 + LBPClassifier=XGBoost2026.04 | 0.9701 | 0.98 | 0.98 | 0.98 | |
| DenseNet-169 + HOGClassifier=SVM2026.04 | 0.9275 | 0.9301 | 0.927 | 0.9275 |