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Papers Benchmarks Datasets Tasks

Multi-person Pose Estimation research benchmarks · SOTA2 Research

Multi-person Pose Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CrowdPose (test)

83.8AP

202

Mar 11, 2026

COCO (test-dev)

79.2AP

101

Feb 26, 2026

COCO 2017 (test-dev)

78.1AP

99

Feb 26, 2026

MPII Multi-Person full (test)

92.2Head Joint Accuracy

47

Feb 26, 2026

92.8AP

40

Feb 26, 2026

PoseTrack 2017 (test)

80.9Total mAP

39

Feb 26, 2026

PoseTrack 2017 (val)

83.8mAP (Total)

39

Feb 26, 2026

PoseTrack 2018 (test)

76.4Ankle Joint Accuracy

19

Feb 26, 2026

COCO 2017 (mini-val)

73.6AP

17

Feb 26, 2026

Multi-Person PoseTrack

0.565Head Accuracy

15

Feb 26, 2026

67.8AP

13

Feb 26, 2026

MPII Multi-Person Pose subset of 288 images

Part Affinity Fields

93.7Head Accuracy

13

Feb 26, 2026

PASCAL-Person-Part extended (test)

66.9Head AP

8

Feb 26, 2026

OCHuman (val test)

41.8AP (Val)

7

Feb 26, 2026

PoseTrack Challenge (val)

Simple Baseline (Ours)

81.7Head mAP

6

Feb 26, 2026

COCO 2017 (val)

RTMDet-nano + RTMPose-l

74.2Pipeline AP

4

Feb 26, 2026

PoseTrack Challenge dataset (test)

Simple Baseline (Ours)

73.9mAP (Total)

4

Feb 26, 2026

93.1AP (Head)

4

Feb 26, 2026

Crowdpose (val)

58.6AP^0.5

3

Feb 26, 2026

PoseTrack Challenge Mini v1.0 (test)

65.3mAP (Head)

2

Feb 26, 2026

PoseTrack (test)

64.7mAP (Head)

2

Feb 26, 2026

—

—AP (IoU 0.5:0.95)

0

Feb 26, 2026

Popular datasets

PoseTrack COCO OCHuman CrowdPose PASCAL-Person-Part

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