- WLASL_v0.3.json: Contains the glossary and video instance details required for processing.
- Videos Folder: Comprises approximately 12k videos, each named according to its unique
video_id
.
Usage:
This dataset is ideal for:
- Word-Level Action Recognition: Classifying ASL words into textual representations.
- Sign Language Research: Facilitating the development of models for sign language understanding.
- Computer Vision Applications: Training and testing models for word-level sign language recognition.
Acknowledgments:
The WLASL dataset is created by Dongxu Li and Hongdong Li and is licensed under the Computational Use of Data Agreement (C-UDA). Please refer to the C-UDA-1.0 license for detailed terms.
Inspiration:
- How can we classify word-level ASL actions into text accurately?
- What are the best-performing models for word-level sign language recognition?
License and Updates:
- License: Computational Use of Data Agreement (C-UDA)
- Expected Update Frequency: Never
This dataset is sourced from Kaggle.