This competition focuses on an image classification task within the chess domain. Participants will develop machine learning models to classify chessboard images representing the final position at the end of the opening phase. The goal is to correctly assign each position to one of five ECO (Encyclopaedia of Chess Openings) volume categories labeled A through E, based solely on the visual layout of the board.