Evaluating image segmentation models for background removal for Images

What this post added

This post details the evaluation of various image segmentation models (U2-Net, IS-Net, BiRefNet, SAM) for background removal functionality. It explains the technical concepts of image segmentation, salient object detection, and the metrics used for evaluation (Intersection over Union, Dice coefficient, pixel accuracy). The post introduces background removal as a new feature leveraging Workers AI.