Imagenet32 is a huge dataset made up of small images called the down-sampled version of Imagenet. Imagenet32 is composed of 1,281,167 training data and 50,000 test data with 1,000 labels.
Source: Self-supervised Knowledge Distillation Using Singular Value Decomposition
Image Source: https://arxiv.org/pdf/1707.08819v3.pdf
Variants: ImageNet32, ImageNet-32
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Image Classification | WRN (N=28, k=10) | A Downsampled Variant of ImageNet … | 2017-07-27 |
Recent papers with results on this dataset: