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Czyzewski, Maciej A.; Laskowski, Artur; Wasik, Szymon, 2018, "LATCHESS21: dataset of damaged chessboard lattice points (chessboard features) used to train LAPS detector (grayscale/21x21px)", https://doi.org/10.18150/repod.7606646, RepOD, V1
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Large dataset of damaged chessboard lattice points (chessboard features), generatedautomatically by modifying perfect 2D standard 8x8 chessboard grid, thenevaluated on real photographs during detection process.
10% - perfect cases10% - warped (random direction)50% - evaluated during detection (real)20% - mostly mistaken (objects)10% - very hard (destroyed)
It contains the following subsets:
This dataset was used to train LAPS detector described in our article.
chessboard corner detection, feature extraction, photogrammetric marker detection, camera calibration, pattern recognition, chessboard lattice points
CC0 Creative Commons Zero 1.0
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