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Object Detection research benchmarks – Page 69 · SOTA2 Research

Object Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

STF Dense Fog (test)

Scene-adaptive CBAM

89.79AP (Easy)

4

Feb 26, 2026

STF Clear (test)

Scene-agnostic CBAM

88.65AP Easy

4

Feb 26, 2026

Pothole detection dataset (test)

93.99mAP (IoU=50%)

4

Feb 26, 2026

37.2AP

4

Feb 26, 2026

90AP

4

Feb 26, 2026

MS COCO 2% labeled data 2017 (val)

18.69AP

4

Feb 26, 2026

MS COCO 1% labeled data 2017 (val)

14.58AP

4

Feb 26, 2026

GraspNet (test)

71.21mAP@0.25

4

Feb 26, 2026

VisDrone 10% labeled images (test-dev)

density crop-guided semi-supervised detector

27.46AP

4

Feb 26, 2026

34.6AP

4

Feb 26, 2026

COCO, O365, OID

45.5mAP (COCO)

4

Feb 26, 2026

61.1AP (Box)

4

Feb 26, 2026

PASCAL VOC (10%)

43.6mAP

4

Feb 26, 2026

54mAP

4

Feb 26, 2026

Visual Wake Words

24.8mAP

4

Feb 26, 2026

ICDAR ReCTS 2019 (test)

53.9AP

4

Feb 26, 2026

37.19AP

4

Feb 26, 2026

COCO retained 15 categories

18.6AP50 (Retain)

4

Feb 26, 2026

39.9mAP

4

Feb 26, 2026

OpenImages v4 (val)

Dataset-specific oracles

69.9mAP50 (Box)

4

Feb 26, 2026

134,899Label Count

4

Jul 1, 2026

COCO additional 2017 (train + unlabeled)

45.3AP@[.5:.95]

4

Feb 26, 2026

MS-COCO 10-way (meta-testing)

30SPE

4

Feb 26, 2026

COCO classes 70-80 2017 (val)

20.7AP

4

Feb 26, 2026

COCO classes 60-70 2017 (val)

26.2AP

4

Feb 26, 2026

Page 69 of 81

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