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Datasets:
mcimpoi
/
minc-2500_split_1

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
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image
imagewidth (px)
362
362
label
class label
23 classes
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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.

Downloads last month
19
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