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Multi-Label Classification research benchmarks – Page 3 · SOTA2 Research

Multi-Label Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

+Multi-label FT

88.2Top-1 Accuracy

24

Mar 9, 2026

84.5mAP

24

Feb 27, 2026

93.54mAP

24

Feb 26, 2026

Objects365 (test)

52.2mAP

24

Feb 26, 2026

Visual Genome VG256 (test)

50.9mAP

24

Feb 26, 2026

85.96AUROC

22

Jul 2, 2026

82.14mAP

22

May 28, 2026

79.4ROC AUC

21

Feb 26, 2026

Wikipedia Hyperlink

81.7Jaccard Index

21

Feb 26, 2026

Wikipedia Clickstream

49.7Jaccard Index (JI)

21

Feb 26, 2026

27.75WG Score

20

Jun 2, 2026

3D Multi-label MRI dataset

0.543PCC (Age)

20

Feb 26, 2026

reBEN-Dominant (test)

71.75mAP

19

Apr 28, 2026

AID Random SPML noise (test)

89.01mAP

19

Apr 28, 2026

reBEN Random 1.0 (test)

71.75mAP

19

Apr 28, 2026

AID-Manual (test)

89.01mAP

19

Apr 28, 2026

+Multi-label FT

89.4Top-1 Accuracy

18

Mar 9, 2026

+Multi-label FT

89.3Top-1 Accuracy

18

Mar 9, 2026

UK Biobank (test)

0.849AUC

18

Feb 26, 2026

CUB-200 2011 (test)

34mAP

18

Feb 26, 2026

MS COCO 48 seen / 17 unseen classes v1

59Precision

18

Feb 27, 2026

MS-COCO 2014 (val)

78mAP (Overall)

18

Feb 26, 2026

Flickr 30% (train)

83.2Micro-F1

18

Feb 26, 2026

75.2mAP

17

May 28, 2026

COCO Stuff-27 (test)

61.7mAP

17

May 28, 2026

Page 3 of 14

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