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Ngokucacile, a U^2-Net segmentation model predicts a per-pixel alpha matte and the background is cut away — but a lossy source has soft, compressed edges, so the matte is refined afterwards, and the output has to go to a format with an alpha channel rather than back to a lossy one. Akukho inyathelo lokufihla ngesandla — imodeli yokwahlukanisa ye-neural ikwenza ukuhlukaniswa futhi uthola imiphumela ecacile emuva.