emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
Paper • 2412.02725 • Published
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emg2pose — unmodified mirror
Verbatim mirror of the original emg2pose_dataset.tar released by Meta (Reality Labs / CTRL-labs),
split into 50 GB parts. Reassemble with cat emg2pose_dataset.tar.part* > emg2pose_dataset.tar and verify against SHA256SUMS.
- Original source and documentation: https://github.com/facebookresearch/emg2pose
- Paper: Salter et al., emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation, NeurIPS 2024 (arXiv:2412.02725)
- License: CC BY-NC-SA 4.0 (unchanged). Attribution to the original authors; non-commercial use only; share-alike.
This mirror exists for research reproducibility and storage migration. No data were modified.
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