Phirat-Passi / U2Net-Image-Segmentation-ML-Model

One of the most important operations in Computer Vision is Segmentation. Image segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. Here, it involves partitioning images (or video frames) into multiple complex segments or objects in order to produce optimum augmented images utilizing the U2Net and Rembg Image Proceesing Models with OpenVINO toolkit.

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