How to Filter Unsafe and Low-Quality Images from any Dataset: A Product Catalog Case Study
Blog post from Cleanlab
Visual data is crucial for modern businesses, but managing heterogenous image collections can be labor-intensive. Cleanlab Studio offers an automated solution to detect low-quality or unsafe images, improving user experience and training Generative AI models. The platform uses AI to auto-detect issues like dark/light images, blurry images, odd aspect ratio images, low information images, grayscale images, aesthetic images, NSFW images, near duplicate images, miscategorized images, and outliers in datasets. By automating quality assurance for visual data, Cleanlab Studio helps businesses enhance customer engagement, satisfaction, and conversion rates.
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