This is a SegFormer B2 model fine-tuned on a human parsing dataset specifically for segmenting clothing items in images. It can identify and delineate different garments and fashion items. The model is provided with full weights on Hugging Face and can be used with the Transformers library for computer vision applications in fashion and image editing.
Segformer B2 Clothes sits in PulseGate's Other AI category. Accurately segmenting and identifying different clothing items in images. Segformer B2 Clothes is an open-source project aimed at developers. The project is open source (Open Source). Segformer B2 Clothes is available on the web and API.
Matt builds and maintains Segformer B2 Clothes, and the product first shipped in 2015. The project is developed in the open on GitHub with 224 stars. Among its 4 catalogued features are Image Segmentation, Clothing Parsing, and Semantic Segmentation.
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