Surface Defect Detection on Rail Surface Defect Detection (RSDD)
97.89Pixel-level AUROCCAT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CATTraining dataset=KSDD22026.06 | 97.89 | — | 45 | — | 0.0058 | |
| CCNetTraining dataset=KSDD22026.06 | 96.76 | — | 2.716 | — | 0 | |
| MMRTraining dataset=KSDD22026.06 | 96.32 | — | 43.9 | — | 0.0038 | |
| PSPNetTraining dataset=KSDD22026.06 | 95.8 | — | 1.925 | — | 0 | |
| DFRTraining dataset=KSDD22026.06 | 93.4 | — | 33.8 | — | 0.0001 | |
| SuperSimpleNetTraining dataset=KSDD22026.06 | 92.9 | — | 32.3 | — | 0.0023 | |
| ReContrastTraining dataset=KSDD22026.06 | 91.8 | — | 44 | — | 0.005 | |
| MobileNetTraining dataset=KSDD22026.06 | 90.95 | — | 16.66 | — | 0.0041 |