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"""
Code to deal with the ImageNet dataset.
Feature details (computed by Yangqing):
- VLfeat SIFT dense extraction: with SIFT patch size 16, 32 and 64,
and a stride of 4 pixels. The images are reduced to size 500*500
(smaller images are not resized up though).
- LLC-coded features with 5-nearest neighbors, and a codebook of size 16k
- Max-pooled on a 1x1 grid and 3x3 grid, so a total of 10 bins.
This gives us 10 * 16k = 160k dimensional features.
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sergeyk / wikipaintings results.ipynb
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