Uploaded February 2023 | Updated September 2026, 5 days ago
We are excited to announce the first Isolated Sign Language Recognition Competition on Kaggle! You can help reduce language deprivation for deaf children by training an accurate, real-time sign language recognition TensorFlow Lite model.
Join us in giving deaf children a higher chance to acquire appropriate language skills and improve access to communication for families. Winning models will be open source to enhance the PopSign game, an app created to help the parents of deaf children learn to sign.
We’d like to thank the Georgia Institute of Technology, the National Technical Institute for the Deaf at Rochester Institute of Technology, and Deaf Professional Arts Network for their work to create the dataset, the PopSign game, and overall competition preparation.
Learn more → https://goo.gle/3YU9ZsY
Subscribe to TensorFlow → https://goo.gle/TensorFlow
In this video, Sam Sepah, a deaf Google ML Research Program Manager, speaks to the camera using American Sign Language and a voice interpreter. He is seated in a video studio wearing a blue button down shirt and rimless glasses. While he speaks, visuals of babies, a family at a dinner table, and both children and adults using sign language are used to illustrate his points. There is also a short visual of the PopSign app, a teaching game where using correct sign language technique rewards the player with popping bubbles.
#TensorFlow #signlanguage
We are excited to announce the first Isolated Sign Language Recognition Competition on Kaggle! You can help reduce language deprivation for deaf children by training an accurate, real-time sign language recognition TensorFlow Lite model.
Join us in giving deaf children a higher chance to acquire appropriate language skills and improve access to communication for families. Winning models will be open source to enhance the PopSign game, an app created to help the parents of deaf children learn to sign.
We’d like to thank the Georgia Institute of Technology, the National Technical Institute for the Deaf at Rochester Institute of Technology, and Deaf Professional Arts Network for their work to create the dataset, the PopSign game, and overall competition preparation.
Learn more → https://goo.gle/3YU9ZsY
Subscribe to TensorFlow → https://goo.gle/TensorFlow
In this video, Sam Sepah, a deaf Google ML Research Program Manager, speaks to the camera using American Sign Language and a voice interpreter. He is seated in a video studio wearing a blue button down shirt and rimless glasses. While he speaks, visuals of babies, a family at a dinner table, and both children and adults using sign language are used to illustrate his points. There is also a short visual of the PopSign app, a teaching game where using correct sign language technique rewards the player with popping bubbles.
#TensorFlow #signlanguage
