BDD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | BDD-100K (val) | mIoU66.28 | 102 | |
| Semantic Segmentation | BDD100K | mIoU93.4 | 78 | |
| Object Detection | BDD-100k | ASR94.4 | 54 | |
| Semantic Segmentation | BDD (val) | mIoU63.6 | 47 | |
| Drivable Area Segmentation | BDD100K v1.0 (test) | mIoU (%)93.2 | 41 | |
| Semantic Segmentation | BDD Night (test) | Mean IoU43.14 | 31 | |
| Semantic Segmentation | BDD | mIoU68.08 | 29 | |
| Semantic Segmentation | BDD target domain | mIoU41.73 | 20 | |
| Object Detection | BDD | mAP5033.4 | 18 | |
| Semantic Segmentation | BDD (test) | mIoU67.02 | 18 | |
| Cognitive Distraction Detection | BDD-A (Leave-one-dataset-out) | Accuracy65.24 | 14 | |
| Semantic Segmentation | BDD100K | mIoU60.28 | 14 | |
| Object Detection | BDD100K Daytime | mAP@0.5 (C+K)76 | 13 | |
| Autonomous Driving Planning | BDD-X | PLA52.18 | 12 | |
| Segmentation | BDD100K | Failure Rate0 | 12 | |
| Scene Graph to Image Generation | BDD100k | FID46.1 | 12 | |
| Semantic Segmentation (Scenario 3) | BDD-100k | ASR98.1 | 9 | |
| Semantic Segmentation (Scenario 2) | BDD-100k | ASR96.1 | 9 | |
| Semantic Segmentation (Scenario 1) | BDD-100k | ASR98.7 | 9 | |
| Action and Reason Prediction | BDD-OIA (test) | Mean F1 (Action)72.3 | 9 | |
| Object Detection | BDD (val) | Round 1 Performance26.8 | 7 | |
| Semantic Segmentation | BDD100K BDD-19 | mIoU61.8 | 7 | |
| Segmentation | BDD-10K Real-World Degradations (unseen) | IoU90.3 | 7 | |
| Object Detection | BDD100k (unlabeled target set) | Truck Count53.4 | 7 | |
| Open-vocabulary semantic segmentation | BDD100K | mIoU60.06 | 6 |
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