Team Members: Lorenzo Lucena Maguire, Ruturaj A. Nanoti, Siddhant Mathur
In this project we performed a comparative analysis of vision based models, namely CNN, ConvMixer and MLP-Mixer for prediction of chess board states using
images of chess boards (dataset obtained from Kaggle
) and FEN (string based notation for encoding chess
board positions) labels.
The report for the project can be accessed by clicking here
.