Datasets:
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license: mit
tags:
- cifar10
- image-classification
- subset
- computer-vision
source_datasets:
- tanganke/cifar10
task_categories:
- image-classification
---
# CIFAR-10 — Subset
Stratified random subset of [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html).
| Split | Rows | Per class |
|------------|-----------|-----------|
| train | 5,000 | 500 |
| test | 1,000 | 100 |
| validation | 500 | 50 |
**Classes:** airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck
**Images:** 32 × 32 RGB | **Seed:** 42
## Label Map
| ID | Class | ID | Class |
|----|------------|----|-------|
| 0 | airplane | 5 | dog |
| 1 | automobile | 6 | frog |
| 2 | bird | 7 | horse |
| 3 | cat | 8 | ship |
| 4 | deer | 9 | truck |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Chiranjeev007/CIFAR-10_Subset")
print(ds)
# DatasetDict({
# train: Dataset(num_rows: 5000),
# validation: Dataset(num_rows: 500),
# test: Dataset(num_rows: 1000)
# })
sample = ds["train"][0]
sample["image"] # PIL Image 32×32 RGB
sample["label"] # int 0–9
```
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