Indonesian Lipreading Dataset (IDLRW)
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The first Indonesian Lip Reading Dataset (IDLRW), consists of 48,083 videos of 100 Indonesian words spoken by native speakers. The dataset is divided into 3 subsets with ratio (7:2:1) : training, validation, and testing. The videos resolution in 224x224 with 25 fps. The videos obtained from CC BY license videos that shared in online video sharing platform. For detailed information, please refer to the article "Recognizing Indonesian words based on visual cues of lip movement using deep learning" published in the Measurement journal, Elsevier. Alternatively, you may contact us for more information about the dataset. (griffani.megiyanto@polban.ac.id)
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Zenodo创建时间:
2023-12-26



