Kuchotsa kwa background ya AI kumagwiritsa ntchito ma network a neurons ophunzira kwambiri - makamaka ma modeli a segmentation ya chithunzi - kuti atengepo mbali ya kumbuyo kuchokera kumbuyo kwa chithunzi chilichonse. Osati njira zachikhalidwe zomwe zimadalira kusiyanasiyana kwa mitundu (monga chroma key) kapena kusindikiza kwamanja (monga chida cha pen), ma modeli a AI amamvetsetsa momwe zinthu zimawoneka. Amaphunzira pa mamiliyoni a zithunzi zolemba ndi kuphunzira kuzindikira anthu, zinthu, zizindikiro, ndi zinthu m'mawu aliwonse.
Simungakhoze kulembetsa.
AI imavomereza zithunzi za JPG, PNG kapena WebP za chilichonse - zithunzi, zinthu, zanimal, zinthu, ntchito zaluso kapena zithunzi.
AI imayendetsa chithunzicho mwanjira ya deep neural network (kapena U-Net kapena SegFormer architecture) yomwe imagawanitsa ma pixels onse ngati "m'mbuyo" kapena "m'mbuyo."
M'malo mwake, netiweki imatulutsa mask ya alpha ya grayscale yomwe yofiira = pamwamba ndi yoyera = kumbuyo. Mask iyi imagwiritsa ntchito kuti ipange zotsatira zofiira.
RemoveBackgroundAI imagwiritsa ntchito mtundu watsopano wa segmentation womwe umasinthidwa mosasamala kanthu za kuchotsa kumbuyo kwa mitundu yosiyanasiyana ya zithunzi. Model yathu imasinthidwa mosalekeza ndi deta yatsopano yophunzitsa, ndikuwonetsetsa kuti imagwira ntchito yomaliza yazithunzi zowoneka bwino.
Phunzirani kwaulere. Simungakhoze kulembetsa.
Yambitsani ndi RemoveBackgroundAI.com →Ochotsa ma background amakono amagwiritsa ntchito ma network a neural a kugawa zithunzi (U-Net, DeepLab, SegFormer architectures) omwe amaphunzitsa mamiliyoni a zithunzi zolemba.
AI imakwaniritsa 95% + kudalirika pazithunzi zazikulu.Mavuto ovuta (kusiyana kwakukulu, zinthu zosadziwika, zithunzi zamaluso) nthawi zina angafune kusinthidwa pang'onopang'ono.
Join mamiliyoni a ogwiritsa ntchito amene akhulupirire RemoveBackgroundAI kwa mosavuta, moyenera, ndi ufulu kuchotsa kumbuyo.
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