---
license: mit
task_categories:
- computer-vision
- image-classification
tags:
- computer-vision
- image-quality
- data-centric-ai
size_categories:
- 10K<n<100K
---

# CleanVision Sample Images

This dataset contains sample images for demonstrating [CleanVision](https://github.com/cleanlab/cleanvision), a Python package for automatically detecting issues in image datasets.

## Dataset Description

This collection includes various images with different quality issues such as:
- Blurry images
- Dark/underexposed images
- Overexposed images
- Near-duplicate images
- Images with various other quality issues

## Usage

Download the dataset:

```bash
wget https://huggingface.co/datasets/cleanlab/cleanvision-sample-images/resolve/main/image_files.zip
unzip image_files.zip
```

Use with CleanVision:

```python
from cleanvision import Imagelab

# Point to the extracted images folder
imagelab = Imagelab(data_path="path/to/extracted/images/")

# Find issues in the dataset
imagelab.find_issues()

# Generate report
imagelab.report()
```

## License

mit - see the [CleanVision repository](https://github.com/cleanlab/cleanvision) for details.