EntitySeg is a computer vision research toolbox focused on image segmentation tasks including instance, semantic, and panoptic segmentation. It provides implementations of multiple algorithms such as open-world entity segmentation, high-quality segmentation for ultra high-resolution images, and class-agnostic semi-supervised learning for detection and segmentation. Built on PyTorch and Detectron2, it includes pretrained models and weights for various segmentation benchmarks.