occlusion_level float64 0 0.8 | num_predictions int64 551 7.19k | num_ground_truth int64 460 2k | tp int64 129 1.63k | fp int64 422 5.68k | fn int64 110 1.12k | precision float64 0.13 0.39 | recall float64 0.26 0.86 | f1 float64 0.2 0.51 | model stringclasses 3
values | experiment stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|---|
0 | 7,167 | 2,000 | 1,625 | 5,542 | 375 | 0.226734 | 0.8125 | 0.354533 | YOLOv8m | overlap_main |
0.2 | 7,194 | 2,000 | 1,546 | 5,648 | 454 | 0.214901 | 0.773 | 0.336306 | YOLOv8m | overlap_main |
0.4 | 7,104 | 2,000 | 1,457 | 5,647 | 543 | 0.205096 | 0.7285 | 0.320079 | YOLOv8m | overlap_main |
0.6 | 6,975 | 2,000 | 1,297 | 5,678 | 703 | 0.18595 | 0.6485 | 0.289025 | YOLOv8m | overlap_main |
0.8 | 6,454 | 2,000 | 877 | 5,577 | 1,123 | 0.135885 | 0.4385 | 0.207476 | YOLOv8m | overlap_main |
0 | 3,397 | 1,000 | 829 | 2,568 | 171 | 0.244039 | 0.829 | 0.377075 | FCOS-R50 | overlap_main |
0.2 | 3,431 | 1,000 | 776 | 2,655 | 224 | 0.226173 | 0.776 | 0.35026 | FCOS-R50 | overlap_main |
0.4 | 3,461 | 1,000 | 733 | 2,728 | 267 | 0.211789 | 0.733 | 0.328626 | FCOS-R50 | overlap_main |
0.6 | 3,334 | 1,000 | 642 | 2,692 | 358 | 0.192561 | 0.642 | 0.296262 | FCOS-R50 | overlap_main |
0.8 | 3,100 | 1,000 | 462 | 2,638 | 538 | 0.149032 | 0.462 | 0.225366 | FCOS-R50 | overlap_main |
0 | 3,980 | 1,000 | 857 | 3,123 | 143 | 0.215327 | 0.857 | 0.344177 | Deformable-DETR-R50 | overlap_main |
0.2 | 4,001 | 1,000 | 833 | 3,168 | 167 | 0.208198 | 0.833 | 0.333133 | Deformable-DETR-R50 | overlap_main |
0.4 | 3,982 | 1,000 | 789 | 3,193 | 211 | 0.198142 | 0.789 | 0.31674 | Deformable-DETR-R50 | overlap_main |
0.6 | 3,942 | 1,000 | 682 | 3,260 | 318 | 0.173009 | 0.682 | 0.276002 | Deformable-DETR-R50 | overlap_main |
0.8 | 3,676 | 1,000 | 468 | 3,208 | 532 | 0.127312 | 0.468 | 0.200171 | Deformable-DETR-R50 | overlap_main |
0 | 1,294 | 500 | 390 | 904 | 110 | 0.301391 | 0.78 | 0.434783 | YOLOv8m | distractor_control |
0.2 | 1,319 | 490 | 377 | 942 | 113 | 0.285823 | 0.769388 | 0.416805 | YOLOv8m | distractor_control |
0.4 | 1,285 | 479 | 364 | 921 | 115 | 0.283268 | 0.759916 | 0.412698 | YOLOv8m | distractor_control |
0.6 | 1,266 | 472 | 358 | 908 | 114 | 0.28278 | 0.758475 | 0.411968 | YOLOv8m | distractor_control |
0.8 | 1,245 | 460 | 350 | 895 | 110 | 0.281124 | 0.76087 | 0.410557 | YOLOv8m | distractor_control |
0 | 1,294 | 500 | 390 | 904 | 110 | 0.301391 | 0.78 | 0.434783 | YOLOv8m | truncation_control |
0.2 | 963 | 500 | 374 | 589 | 126 | 0.38837 | 0.748 | 0.511278 | YOLOv8m | truncation_control |
0.4 | 876 | 500 | 346 | 530 | 154 | 0.394977 | 0.692 | 0.502907 | YOLOv8m | truncation_control |
0.6 | 739 | 500 | 262 | 477 | 238 | 0.354533 | 0.524 | 0.422922 | YOLOv8m | truncation_control |
0.8 | 551 | 500 | 129 | 422 | 371 | 0.23412 | 0.258 | 0.24548 | YOLOv8m | truncation_control |
OccDet-Calib
OccDet-Calib is a benchmark and analysis framework for studying detector calibration under partial visibility.
This repo contains
- benchmark metadata CSVs
- processed evaluation tables
- paper figures and montage images
- sample public assets
- reproducibility-facing artifacts
This repo does not contain
- raw COCO images
- raw BDD100K images
- checkpoints
- virtual environments or cache folders
Main conditions
- overlap occlusion
- distractor control
- truncation control
- inpainting robustness subset
- natural validation on BDD100K-style annotations
Main classes
- person
- bicycle
- motorcycle
- car
- bus
- truck
- stop sign
Notes
The dataset viewer is configured with multiple subsets because the metadata and evaluation CSVs have different schemas.
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