phsmoura/child-image-detection
Implementation of Haar-Cascade combined with CNN to detect children in images.
This tool helps you automatically identify images that contain children. You provide a collection of images, and it processes them to detect faces and then classify if those faces belong to children. The output is a filtered set of images, specifically those that feature at least one child. This is useful for anyone managing large image datasets where quick segregation by age is needed.
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Use this if you need to automatically sift through many images to find only those depicting children.
Not ideal if you require highly precise age classification beyond 'child' or 'not child', or if you are looking for a solution that does not involve running Python scripts locally.
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Language
Python
License
MIT
Category
Last pushed
Dec 08, 2022
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