Datasets:
metadata
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, 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:
wget https://huggingface.co/datasets/cleanlab/cleanvision-sample-images/resolve/main/image_files.zip
unzip image_files.zip
Use with CleanVision:
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 for details.