dxli94/WLASL resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1257 stars · 159 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

WLASL is the largest video dataset for word-level American Sign Language (ASL) recognition, containing samples for 2,000 common ASL words/glosses with bounding box annotations. The repository provides dataset JSON files, download and preprocessing scripts, data loading code, and pre-trained I3D and Pose-TGCN models.

Use cases

• train a sign language recognition model from video
• benchmark video classification models on ASL word recognition
• download and preprocess ASL video samples from YouTube
• research sign language understanding and translation
• fine-tune pretrained I3D or Pose-TGCN models on sign language data
• build an accessibility tool for deaf and hearing communication

When to choose

• you need a large-scale word-level ASL video dataset for research
• you want benchmark baselines and pretrained models for sign language recognition
• you are working on video-based human action or gesture recognition
• you need gloss-level annotations with bounding boxes

When to avoid

• you need continuous sign language sentence or full translation datasets rather than isolated words
• you need a commercially licensed dataset (C-UDA restricts to academic/computational use)
• you want non-American sign languages
• you cannot handle YouTube-dependent downloads or request missing videos from the authors

Facets

dataset · maturity maintenance

machine-learning computer-vision video-processing data-science computer-vision machine-learning accessibility python cross-platform sign-language-recognition asl video-dataset word-level-recognition benchmark-dataset c-uda-license video

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dxli94/WLASL")