lmb-freiburg/freihand

A dataset for estimation of hand pose and shape from single color images.

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This project provides a comprehensive dataset to help computer vision researchers develop and train models that can accurately estimate human hand pose and shape from a single color image. It includes a vast collection of training and evaluation images of hands, complete with ground truth annotations for 3D hand joint positions and mesh shape. This is ideal for researchers in computer vision, robotics, or augmented reality who are working on hand tracking or gesture recognition systems.

430 stars. No commits in the last 6 months.

Use this if you are developing or evaluating deep learning models for precise 3D hand pose and shape estimation from standard camera images.

Not ideal if you need a dataset for real-time applications requiring multi-view calibration data or if you are not working within the academic research domain.

computer-vision hand-tracking gesture-recognition 3d-modeling robotics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

430

Forks

89

Language

Python

License

Last pushed

Jan 21, 2022

Commits (30d)

0

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