Dataset Viewer
Auto-converted to Parquet Duplicate
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.

Downloads last month
25