CDS2K is a benchmark for Concealed scene understanding (CSU), which is a hot computer vision topic aiming to perceive objects with camouflaged properties. It is a concealed defect segmentation dataset from the five well-known defect segmentation databases. It contains five sub-databases: MVTecAD, NEU, CrackForest, KolektorSDD, and MagneticTile. The defective regions are highlighted with red rectangles.
Source: Advances in Deep Concealed Scene UnderstandingPapers
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