Indonesian Lipreading Dataset (IDLRW)
<div> <div>The first Indonesian Lip Reading Dataset (IDLRW), consists of 48,083 videos of 100 Indonesian words spoken by native speakers.</div> <div>The dataset is divided into 3 subsets with ratio (7:2:1) : training, validation, and testing.</div> <div>The videos resolution in 224x224 with 25 fps.</div> <div>The videos obtained from CC BY license videos that shared in online video sharing platform.</div> <div> </div> <div>For detailed information, please refer to the article "<strong>Recognizing Indonesian words based on visual cues of lip </strong><strong>movement using deep learning</strong>" published in the Measurement journal, Elsevier.</div> <div>Alternatively, you may contact us for more information about the dataset. (<a href="mailto:griffani.megiyanto@polban.ac.id">griffani.megiyanto@polban.ac.id</a>)</div> </div>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Topics
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