Unverified50% confidenceFactExact time
Image segmentation models learn the semantic boundaries of subjects through training and output a per-pixel foreground probability mask, capable of handling soft edges such as hair, smoke and translucent glass, whereas color masking judges only by pixel color thresholds and cannot distinguish a green background from a green subject.
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10/18/2026
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