Object Detection on aluminum-defect
99.2mAP@0.5YOLOX-S
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| YOLOX-SBackbone=DarkNet-532026.03 | 99.2 | 58.2 | 98.91 | 99.3 | 0.99 | |
| DS-MoEBackbone=DS-MoE2026.03 | 99.2 | 57.7 | 97.8 | 98.12 | 0.97 | |
| YOLOv8Backbone=C2f2026.03 | 98.05 | 56.27 | 97.23 | 97.88 | 0.96 | |
| YOLOv7Backbone=ELAN-Net2026.03 | 97.98 | 56.11 | 97.03 | 94.81 | 0.96 | |
| AirDet-SBackbone=RepResNet2026.03 | 97.9 | 57.69 | 96.79 | 97.21 | 0.97 | |
| YOLOv6-SBackbone=RepVGG2026.03 | 97.81 | 55.64 | 97.14 | 95.81 | 0.97 | |
| PromptDetBackbone=CLIP-R502026.03 | 97.56 | 56.92 | 94.64 | 96.43 | 0.96 | |
| MLLABackbone=MLLA2026.03 | 97.36 | 55.66 | 96.47 | 97.25 | 0.9 | |
| YOLOv5-SBackbone=CSPDarkNet2026.03 | 97.2 | 56.6 | 96.4 | 96.8 | 0.97 | |
| SegMANBackbone=SegMAN2026.03 | 97.12 | 51.18 | 97.24 | 96.74 | 0.95 | |
| YOLOR-P62026.03 | 97 | 53.1 | 88.3 | 97.8 | 0.93 | |
| MViTv2-BBackbone=MViTv22026.03 | 96.93 | 57.32 | 95.33 | 96.96 | 0.96 | |
| MiniGPT-VBackbone=Phi-2 + ViT-B2026.03 | 96.87 | 55.68 | 93.42 | 95.75 | 0.95 | |
| RetinaNetBackbone=ResNet-1012026.03 | 96.52 | 46.7 | 94.79 | 93.32 | 0.94 | |
| PP-YOLOE-SBackbone=CSPNet2026.03 | 96.31 | 57.3 | 95.4 | 96.9 | 0.96 | |
| YOLOv3Backbone=DarkNet-532026.03 | 95.9 | 54.4 | 94.7 | 95.7 | 0.95 | |
| YOLOv5-XBackbone=CSPDarkNet2026.03 | 94.3 | 54.9 | 95.1 | 94.7 | 0.95 | |
| YOLOv4Backbone=CSPDarkNet-532026.03 | 94.13 | 59.1 | 83.38 | 96.01 | 0.89 | |
| EfficientDet-D3Backbone=EfficientNet-B32026.03 | 93.52 | 50.2 | 91.85 | 90.91 | 0.91 | |
| Faster-R-CNNBackbone=ResNet-502026.03 | 92.35 | 42.3 | 73.88 | 97.5 | 0.84 | |
| SSDBackbone=VGG-162026.03 | 86.58 | 35.2 | 99.8 | 62.5 | 0.77 | |
| CenterNetBackbone=Hourglass-1042026.03 | 60.3 | 38.6 | 51.09 | 60.61 | 0.55 |