MachineLearningVisionRG/mcs-dataset
Marble Crack Segmentation (MCS) Dataset for semantic segmentation on marble images.
This dataset helps quality control engineers or manufacturing professionals in the marble industry to identify genuine cracks in marble slabs. It provides a collection of marble images and corresponding masks that highlight actual cracks, distinguishing them from natural fissures that do not affect structural integrity. The output is clearly labeled image data for training automated defect detection systems.
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Use this if you need to train or evaluate a computer vision system specifically designed to find and segment cracks in natural marble surfaces, differentiating them from harmless natural patterns.
Not ideal if you are looking for a general-purpose anomaly detection dataset for various materials, or if your primary concern is with surface anomalies other than cracks.
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Aug 23, 2023
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