The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images.
Dataset Card
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class. - image-classification: The goal of this task is to classify a given image into one of 10 classes. The leaderboard is available here. English A…
Excerpt from the card by University of Toronto Computer Science, licensed unknown.
Structure
plain_text 60,000 rows
| Split | Rows | Size |
|---|---|---|
| train | 50,000 | 114.5 MB |
| test | 10,000 | 22.8 MB |
Details
- Repository
- uoft-cs/cifar10
- Publisher
- University of Toronto Computer Science
- Task category
- Image classification
- Tags
- Not stated by the source
- Size category
- 10K<n<100K
- Languages
- en
- Revision
- 0b2714987fa478483af9968de7c934580d0bb9a2
- Last updated
- 2024-01-04
Files
4 files, 143.7 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| plain_text/test-00000-of-00001.parquet | Data | 23.9 MB | 841389e6f2d6 |
| plain_text/train-00000-of-00001.parquet | Data | 119.7 MB | 8428b53a88a1 |
| README.md | Documentation | 5.2 KB | — |
| .gitattributes | Repository | 1.2 KB | — |
License and Download
- License
- unknown
- Access
- No access gate
Released by University of Toronto Computer Science through its official repository on Hugging Face.