Chess Recognition Dataset (ChessReD)
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Chess Recognition Dataset (ChessReD) The Chess Recognition Dataset (ChessReD) comprises a diverse collection of images of chess formations captured using smartphone cameras; a sensor choice made to ensure real-world applicability. It was collected by capturing images of chessboards with various chess piece configurations. The chess opening theory was used to guarantee the variability of those configurations. In particular, the Encyclopaedia of Chess Openings (ECO) classifies opening sequences into five volumes with 100 subcategories each that are uniquely identified by an ECO code. 20 ECO codes were selected from each volume. Subsequently, each code of this set was randomly matched to an already played chess game that followed the particular opening sequence denoted by the ECO code; thus creating a set of 100 chess games. Finally, using the move-by-move information provided by Portable Game Notations (PGNs) that are used to record chess games, the selected games were played out on a physical chessboard with images being captured after each move. Three distinct smartphone models were used to capture the images. Each model has different camera specifications, such as resolution and …
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