prithivMLmods/Minc-Materials-23
Image Classification
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Updated
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14
Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Dataset Viewer
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imagewidth (px) 362
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End of preview. Expand
in Data Studio
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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- 71
Homepage:
opensurfaces.cs.cornell.edu
Paper:
openaccess.thecvf.com
Size of downloaded dataset files:
2.35 GB
Size of the auto-converted Parquet files:
2.35 GB
Number of rows:
57,500
Models trained or fine-tuned on mcimpoi/minc-2500_split_1