fhswf/sign-language-avatar-gloss-dgs

Dataset for German Sign Language Avatar Training

Dataset Summary

This dataset provides curated resources for training data-driven avatars to perform isolated signs in German Sign Language (Deutsche Gebärdensprache, DGS). It includes videos of individual signs as well as corresponding pose estimation results in a structured and reusable format.

The data is at this moment just sourced from SignDict.org and organized into three primary folders:

• videos-raw: Original, uncut video files
• videos-cut: Cutted videos containing only the relevant signing segments
• extracted: Pose estimation results for the cropped videos in .pev format (according to pose-estimation-recognition-utils V1.0)

Folder Structure

├── videos-raw/ # Full original sign videos (from SignDict)
├── videos-cut/ # Cutted versions focused on signing motion
├── extracted/ # Pose estimation data in .pev format

Data Format

• Videos: All videos show isolated signs, one per clip. The raw videos often contain context or idle movement; the videos-cut subset has been manually trimmed to isolate the gesture.
• Pose Estimation Data:
  • Format: .pev (JSON-based)
  • Standard: Compatible with pose-estimation-recognition-utils V1.0
  • Content: Frame-by-frame 3D keypoints for hands, face, and body

License

Please take care of the original licence of each video.