An Algorithm of Recognition Uzbek Sign Language
Farrukh AkhmedovDigital Technologies and Artificial Intelligence Research Institute,Tashkent,UzbekistanMukhriddin UmarovUniversity of Management and Future Technologies,Tashkent,UzbekistanElmurod UrinovUniversity of Management and Future Technologies,Tashkent,UzbekistanBekzod TurgunovUniversity of Management and Future Technologies,Tashkent,Uzbekistan
2024en
Ochiq kirish: yoʻq
ABI
Annotatsiya
This article highlights an algorithm for recognizing the dactyl alphabet of Uzbek Sign Language using the YOLO architecture, based on deep convolutional neural networks. For training the model, developed a dataset that consist of images which representing of signs of Uzbek sign language. Metrics such as precision, recall, and average nrecision were used to evaluate the model's nerformance.
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