Malaysian Sign Language (MSL) Dataset / Bahasa Isyarat Malaysia (BIM) Dataset Refer to this code repository on how to use the dataset. Disclaimer This dataset is collected by students from Faculty of Computer Science & Information Technology, Universiti Malaya for a coursework project (WQF7006 Computer Vision & Image Processing). Raw data is available at Google Drive. I'm not the owner/author of this raw dataset ( video/ ), but I have processed and organized it for research purposes ( features/ , tensors ). Contributions are welcome! Please feel free to open an issue or submit a pull request to contribute more extracted features or tensors. Overview This repository provides tools to: 1. Extract features from raw video files using MediaPipe Holistic to extract pose and hand landmarks 2. Build tensors from extracted features for machine learning model training The extracted features are 258 dimensional vectors containing: Pose landmarks : 33 points × 4 values (x, y, z, visibility) = 132 dimensions Left hand landmarks : 21 points × 3 values (x, y, z) = 63 dimensions Right hand landmarks : 21 points × 3 values (x, y, z) = 63 dimensions Total: 258 dimensions Dataset Structure The datase…
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