This is the Mask2Former model using a Swin-Tiny backbone, pre-trained for universal segmentation (instance, semantic, and panoptic) on the COCO dataset. Developed by Meta AI, it is a state-of-the-art architecture for image segmentation tasks. The model can be used with the Hugging Face Transformers library for image segmentation pipelines or direct inference.
In the Other AI space, Mask2former Swin Tiny Coco Instance takes a focused approach. It focuses on performing precise instance segmentation on images to identify and delineate individual objects. Mask2former Swin Tiny Coco Instance is an open-source project aimed at developers. The project is open source (MIT). It runs on the web and API.
Meta builds and maintains Mask2former Swin Tiny Coco Instance, and the product first shipped in 2021. The GitHub repository has been archived.
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