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Pose Estimation

3D › Pose Estimation 1,918 평가 기록 213 datasets

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>

하위 태스크

3H 3D Human Pose Estimation 75 데이터셋 · 986 rows HP Hand Pose Estimation 21 데이터셋 · 159 rows MP Multi-Person Pose Estimation 15 데이터셋 · 100 rows KD Keypoint Detection 9 데이터셋 · 83 rows HP Head Pose Estimation 10 데이터셋 · 75 rows HP Human Pose Forecasting 7 데이터셋 · 69 rows 6P 6D Pose Estimation 9 데이터셋 · 50 rows 6P 6D Pose Estimation using RGB 6 데이터셋 · 45 rows AP Animal Pose Estimation 8 데이터셋 · 38 rows 6P 6D Pose Estimation using RGBD 8 데이터셋 · 35 rows VP Vehicle Pose Estimation 4 데이터셋 · 22 rows 3P 3D Pose Estimation 7 데이터셋 · 14 rows CP Car Pose Estimation 1 데이터셋 · 3 rows RP RF-based Pose Estimation 1 데이터셋 · 3 rows AD Activeness Detection 1 데이터셋 · 1 rows HJ Hand Joint Reconstruction 0 데이터셋 · 0 rows S2 Semi-supervised 2D and 3D landmark labeling 0 데이터셋 · 0 rows