Cifar10
Hugging FaceDataset Card for CIFAR-10 Dataset Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar10.
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Data preview
500 rows · 2 columns · showing first 12| # | img text | label integer |
|---|---|---|
| 1 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 0 |
| 2 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 6 |
| 3 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 0 |
| 4 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 2 |
| 5 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 7 |
| 6 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 2 |
| 7 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 1 |
| 8 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 2 |
| 9 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 4 |
| 10 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 1 |
| 11 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 5 |
| 12 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 6 |
Auto-generated charts
Cifar10: 500 rows by 2 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Charts
Total label by img
Top img values ranked by summed label.
Distribution of label
Histogram of label values.
label by img
Spread of label across img groups.
Interesting queries to try
Columns
- img categorical
- label numeric