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Nudity Detection Algorithm Overview by sribb is a document available to read on EtoBox.

The document presents an algorithm for detecting nudity in images. It constructs a skin color distribution model using different color spaces to identify skin regions. These regions are then analyzed to classify images as nude or non-nude based on clues like region size and distance. The algorithm achieves 94.77% recall and 5.04% false positives on test images.

Author
sribb
Language
EN