This is a Mask2Former model with a Swin-Large backbone trained on the Cityscapes dataset for semantic segmentation. Developed by Meta AI, it can be used with the Hugging Face Transformers library for image segmentation tasks. The model is particularly effective at understanding street scenes and is released as open source for computer vision research and applications.
Mask2former Swin Large Cityscapes Semantic is an Other AI product. Accurately performing pixel-level semantic segmentation on complex urban driving scenes. Mask2former Swin Large Cityscapes Semantic is an open-source project aimed at developers. The project is open source (Open Source). Mask2former Swin Large Cityscapes Semantic is available on the web and API.
Meta AI builds and maintains Mask2former Swin Large Cityscapes Semantic, and the product first shipped in 2022. Among its 4 catalogued features are semantic segmentation, mask classification, and swin transformer.
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