computer-vision-19
Pose Estimation
3260 papers • 126 benchmarks • 313 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 ( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in pose-estimation-19
Trend
Dataset
Best Model
Actions
MPII Human Pose
MPII Human Pose
COCO test-dev
COCO test-dev
Leeds Sports Poses
Libraries
iUse these libraries to find pose-estimation-19 models and implementations
33 papers 5,973
Datasets
No datasets available.
