Datasets:
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 filesvideos-cut
: Cutted videos containing only the relevant signing segmentsextracted
: Pose estimation results for the cropped videos in.pev
format (according topose-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
- Format:
License
Please take care of the original licence of each video.
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