Datasetpublic

mcimpoi/minc-2500_split_1

Materials in Context Dataset (MINC-2500) Dataset Summary (from the website) MINC-2500 is a patch classification dataset with 2500 samples per category (Section 5.4 of the paper). This is a subset of MINC where samples have been sized to 362 x 362 and each category is sampled evenly. The original resolution images are not needed as we include the extracted patches in the archive.

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Dataset Card

Materials in Context Dataset (MINC-2500)

Dataset Description

—Homepage: http://opensurfaces.cs.cornell.edu/publications/minc/
—Paper: https://openaccess.thecvf.com/contentcvpr2015/html/BellMaterialRecognitionin2015CVPRpaper.html

Dataset Summary

(from the website) MINC-2500 is a patch classification dataset with 2500 samples per category (Section 5.4 of the paper). This is a subset of MINC where samples have been sized to 362 x 362 and each category is sampled evenly. The original resolution images are not needed as we include the extracted patches in the archive.