cleanlab/cleanvision

Health v2 · maintenance only

Adoption not part of the score

1199 stars · 83 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CleanVision is a Python library that automatically detects issues in image datasets, such as blurry, dark, over-exposed, or near-duplicate images. It provides a simple API to audit any image collection and generate a report before training machine learning models.

Use cases

• find blurry or low-quality images in my dataset
• detect near-duplicate images before training a model
• audit an image dataset for data quality issues
• check for dark or over-exposed images in a computer vision dataset
• clean up image data before training a classifier
• profile an image dataset for exploratory data analysis

When to choose

• you want a quick, automated first-pass quality check of an image dataset before ML training
• you need to find duplicates or low-quality images across a large folder of images with minimal code
• you follow a data-centric AI workflow and want dataset issue reports

When to avoid

• you need image annotation or labeling tools
• you need general-purpose image editing or manipulation
• your data is not images (e.g., text or tabular data)

Facets

library · maturity active

image-processing computer-vision data-science machine-learning computer-vision image-processing data-science machine-learning python cross-platform data-quality data-centric-ai image-deduplication dataset-audit exploratory-data-analysis

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For agents

markdown · JSON · MCP: product_card(name="cleanlab/cleanvision")