| --- |
| license: unknown |
| pretty_name: CIFAR-10 (original python archive) |
| task_categories: |
| - image-classification |
| --- |
| # CIFAR-10, original python archive |
|
|
| Unmodified copy of `cifar-10-python.tar.gz` from https://www.cs.toronto.edu/~kriz/cifar.html, |
| mirrored so course notebooks do not depend on the original host. |
|
|
| - MD5 `c58f30108f718f92721af3b95e74349a` (the value `torchvision.datasets.CIFAR10` checks) |
| - 170,498,071 bytes |
|
|
| ## Use with torchvision |
|
|
| Set the URL before the first `datasets.CIFAR10(...)` call. torchvision still verifies the |
| MD5, so nothing else changes. Pin a commit hash from this repo's history, not `main`. |
|
|
| datasets.CIFAR10.url = ("https://huggingface.co/datasets/MIT-OL-AI-D/cifar-10-python/" |
| "resolve/<commit>/cifar-10-python.tar.gz") |
| |
| ## Citation |
|
|
| Alex Krizhevsky, *Learning Multiple Layers of Features from Tiny Images*, 2009. |
