cleanlab/cleanvision
Automatically find issues in image datasets and practice data-centric computer vision.
Building a computer vision model often starts with gathering many images. CleanVision helps you automatically check a folder of images for common flaws like blurriness, over/under-exposure, or duplicates. It takes your raw image files and produces a report identifying these issues so you can address them before training your model. This is for anyone preparing image datasets for machine learning applications, from AI researchers to data scientists.
1,158 stars. Used by 2 other packages. Available on PyPI.
Use this if you need to quickly identify and fix quality problems within a large collection of raw images intended for a computer vision project.
Not ideal if you need to find issues with the labels associated with your images, rather than the images themselves.
Stars
1,158
Forks
75
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 08, 2026
Commits (30d)
0
Dependencies
8
Reverse dependents
2
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