Object Detection on BBMP (test)
99.55mAP@0.5YOLOX-S
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| YOLOX-SBackbone=DarkNet-532026.03 | 99.55 | 70.68 | 80.32 | 99.9 | 88 | |
| DS-MoEBackbone=DS-MoE2026.03 | 99.5 | 85.2 | 98.3 | 98.1 | 94 | |
| YOLOR-P62026.03 | 99.3 | 59.9 | 53.5 | 99 | 69 | |
| MViTv2-BBackbone=MViTv22026.03 | 98.8 | 68.79 | 95.87 | 97.31 | 98 | |
| YOLOv8Backbone=C2f2026.03 | 98.76 | 71.25 | 97.63 | 97.78 | 95 | |
| AirDet-SBackbone=CSPNet2026.03 | 98.7 | 68.41 | 92.9 | 95.91 | 90 | |
| YOLOv7Backbone=ELAN-Net2026.03 | 98.46 | 69.31 | 96.81 | 97.44 | 95 | |
| YOLOv5-XBackbone=CSPDarkNet2026.03 | 98.4 | 64.8 | 91.47 | 99.04 | 94 | |
| SegMANBackbone=SegMAN2026.03 | 98.4 | 68.71 | 96.55 | 97.72 | 95 | |
| PromptDetBackbone=CLIP-R502026.03 | 98.07 | 68.94 | 95.38 | 97.16 | 96 | |
| YOLOv6-SBackbone=RepVGG2026.03 | 98 | 66.81 | 95.87 | 96.9 | 96 | |
| MLLABackbone=MLLA2026.03 | 97.84 | 65.41 | 95.51 | 96.56 | 95 | |
| PP-YOLOE-SBackbone=RepResNet2026.03 | 97.31 | 67.53 | 83.3 | 97.83 | 96 | |
| MiniGPT-VBackbone=Phi-2 + ViT-B2026.03 | 97.25 | 67.43 | 94.17 | 96.02 | 95 | |
| YOLOv4Backbone=CSPDarkNet-532026.03 | 96.1 | 50.06 | 89.37 | 94.78 | 91 | |
| YOLOv5-SBackbone=CSPDarkNet2026.03 | 93.21 | 62.1 | 85.19 | 91.44 | 88 | |
| YOLOv3Backbone=DarkNet-532026.03 | 91.37 | 40.66 | 84.39 | 92.33 | 87 | |
| EfficientDet-D3Backbone=EfficientNet-B32026.03 | 86.39 | 55.67 | 67.49 | 89.9 | 76 | |
| Faster-R-CNNBackbone=ResNet-502026.03 | 83.62 | 38.73 | 74.89 | 75.4 | 74 | |
| RetinaNetBackbone=ResNet-1012026.03 | 80.79 | 49.89 | 66.28 | 77.56 | 71 | |
| SSDBackbone=VGG-162026.03 | 70.44 | 32.52 | 78.94 | 49.48 | 25 | |
| CenterNetBackbone=Hourglass-1042026.03 | 68.51 | 43.18 | 84.14 | 48.74 | 62 |