Real Time American Sign Language Detection Using Yolo-v9

Amna Imran, Meghana Shashishekhara Hulikal, Hamza A. A. Gardi
7/25/2024
cs.CVcs.AIcs.LG

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Abstract

This paper focuses on real-time American Sign Language Detection. YOLO is a convolutional neural network (CNN) based model, which was first released in 2015. In recent years, it gained popularity for its real-time detection capabilities. Our study specifically targets YOLO-v9 model, released in 2024. As the model is newly introduced, not much work has been done on it, especially not in Sign Language Detection. Our paper provides deep insight on how YOLO- v9 works and better than previous model.

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Cite this paper

@article{imran2024real,
  title  = {Real Time American Sign Language Detection Using Yolo-v9},
  author = {Amna Imran and Meghana Shashishekhara Hulikal and Hamza A. A. Gardi},
  year   = {2024},
  eprint = {2407.17950},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.17950v1}
}

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