OneFormer ADE20K Swin Large is a universal image segmentation model that can perform semantic, instance, and panoptic segmentation using a single transformer-based architecture. It eliminates the need for task-specific heads or separate models by using a unified query-based approach. The model is hosted on Hugging Face and is intended for researchers and developers working on computer vision tasks.
Oneformer Ade20k Swin Large sits in PulseGate's Other AI category. It focuses on performing unified image segmentation without task-specific models or architectures. Oneformer Ade20k Swin Large is an open-source project aimed at machine learning researchers and developers. The project is open source (MIT). It runs on the web and API.
shi-labs builds and maintains Oneformer Ade20k Swin Large, and the product first shipped in 2022. The project is developed in the open on GitHub with 1.7k stars. Among its 4 catalogued features are Image Segmentation, Panoptic Segmentation, and Semantic Segmentation.
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