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OpenBoard Dataset (Piece Classification)
This dataset is a modified and simplified version of the OpenBoard-Dataset by Szustarol.
Dataset Description
This dataset contains images of chess pieces for classification. It is derived from the original OpenBoard-Dataset and has the following modifications:
- Purpose: The dataset is intended for training and testing image classification models to recognize chess pieces.
- Structure: The images are organized in an ImageFolder structure, ready to be used with popular deep learning frameworks. The directories are named after the piece they contain (e.g.,
wP
for white pawn,bK
for black king,xx
for empty squares). - Image Format: All images are 32x32 pixel PNG files.
For more information about the original data collection process, please refer to the original repository.
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