Mask2Former Swin Large ADE Semantic is an open model for semantic image segmentation trained for the ADE20K scene-parsing task. Developers can load its weights with Transformers and PyTorch for local inference or deploy it through supported inference services.
Mask2former Swin Large Ade Semantic is an Other AI project. It focuses on segmenting images into semantic regions and identifying the objects or areas they contain. It is built as an open-source project for machine learning developers and computer vision researchers. The project is open source (MIT). It ships for the web and API, and it can be self-hosted.
It is developed by AI at Meta, and it first shipped in 2021. The GitHub repository has been archived. Among its 7 catalogued features are semantic segmentation, image inference, and transformers integration.
Summary written by a language model from the project’s public pages.
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