Transformed the ASL image dataset into csv format for faster training. The dataset is hosted on Kaggle and is categorized under Computer Vision. The original source, author, and specific scale of the data are not provided in the available metadata.
Use Cases
- Train sign language recognition models based on landmark data.
- Benchmark pose estimation algorithms for hand and body landmarks.
- Develop real-time sign language translation systems based on pre-extracted features.
Strengths
- Data is pre-processed into a tabular format, which may accelerate model training.
- Focuses on a specific application domain: American Sign Language (ASL) recognition.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Kaggle
- Collection Method
- Transformed from an original ASL image dataset, likely using MediaPipe for landmark extraction.