
Dataset contains six main components derived from human-versus-human Connect Four games played on a physical board, as well as computer-generated optimal move data. Dataset Components Video Dataset – Recordings of 52 human-versus-human Connect Four matches on a physical board. Board Annotations – Frame-wise annotated boards with grid coordinates. Piece Annotations – Annotated discs for both players and empty grids Image Vectors – Vectorized board representations derived from frames. Optimal Move Dataset – One million unique board positions with optimal moves computed using a minimax-based solver. Annotation Tool – A Python-based GUI application for frame-to-symbolic board conversion and annotation consistency checking.
Connect Four, annotation, Optimal Move, Computer Vision, multimodal dataset, move prediction, board recognition, Game Ai
Connect Four, annotation, Optimal Move, Computer Vision, multimodal dataset, move prediction, board recognition, Game Ai
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