Publication: Chess piece location and identification using Machine Learning
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2022
Defense date
2022-06-22
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Abstract
This project aims to identify and locate chess pieces from a chess board photograph
to recreate the chess board position in digital format. To do so, several approaches will be
tested to challenge previous limitations and requirements for this task to overcome them
and achieve a simpler and more flexible solution. Overcoming said limitations are of great
importance, as doing so will increase accessibility to chess recognition models, moving
one step closer to end-user making automatic digital recreations of their over-the-board
chess games.
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Redes neuronales, Inteligencia artificial, Aprendizaje automático