--- title: Hand Annotation Worker emoji: 🤲 colorFrom: blue colorTo: yellow sdk: docker app_port: 7860 license: other license_name: mixed-upstream-licenses license_link: README.md#licenses models: - nvidia/EgoHand-v1 - nvidia/RT-DETR-Hand-Detector-v1 - nvidia/SOMA-X --- # Hand annotation worker Public HF Jobs image for LeRobot Annotation Studio's EgoHand/SOMA hand annotations, with **DROID-W + MoGe Small** retained. The image includes the frozen model package; Jobs need no private model-repository access. Sign in to launch billed HF Jobs or read private datasets. The Space build fetches the three large weights anonymously from their public upstream repositories at `model-sources.json`'s exact revisions and checksums. `model-assets/` contains the remaining frozen support files and licenses, keeping the Git repository below the Space's 1-GB limit. Every one of the resulting 1,768 model/support files must match `model-assets/assets.json` before the image builds. The inference-only EgoHand checkpoint preserves all 817 inference tensors; optimizer/trainer state is omitted. Checkpoint container metadata and tensor hashes are pinned in `egohand-checkpoint-template.zip`, without tensor values. The builder streams matching tensor records with fixed-size buffers and never unpickles the source checkpoint. Model weights, precision, native camera/hand code, tracking and annotation settings are unchanged. Corresponding native sources, licenses and compiler provenance remain in the source archives, `camera-wheels/` and `build-provenance/`. The prior native runtime acceptance is recorded by Studio; this packaging build verifies weights and imports on CPU. Camera TensorRT plans are compiled on the selected Job GPU. ## Licenses EgoHand and its detector retain NVIDIA OpenMDW-1.1. SOMA/MHR retain Apache-2.0. The camera and other dependencies retain their included component-specific licenses and notices. See `model-assets/licenses/`, `model-notices/`, the retained model cache and source archives. This package does not claim a single license for all components. It contains no MANO, user recordings, predictions, reference cameras or GPU-specific TensorRT plans.