Oneformer Ade20k Swin Large
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and Hugging Face and has been in the index since 21 Jul 2026. How this is checked
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.
Inferred · not functionally tested
Overview
4 featuresPurpose: Performing unified image segmentation without task-specific models or architectures.
Inferred · not functionally tested
Audience: machine learning researchers and developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: WEB · deployment: browser, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co · github.com. These links do not verify the individual claims.
Oneformer Ade20k Swin Large is a Computer vision, OCR & document AI project. Inferred · not functionally tested: It focuses on performing unified image segmentation without task-specific models or architectures. Inferred · not functionally tested: It is built as an open-source project for machine learning researchers and developers. Basis unknown · not verified: Oneformer Ade20k Swin Large is open source under the MIT license. Basis unknown · not verified: It runs on the web and API.
Behind Oneformer Ade20k Swin Large is shi-labs, and it first shipped in 2022. The project is developed in the open on GitHub with 1.7k stars. Inferred · not functionally tested: Key capabilities include Image Segmentation, Panoptic Segmentation, and Semantic Segmentation.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Image Segmentation
- Panoptic Segmentation
- Semantic Segmentation
- Instance Segmentation
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- huggingface in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 13:04 UTCshi-labs/oneformer_ade20k_swin_large seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Oneformer Ade20k Swin Large
- What does Oneformer Ade20k Swin Large do?
- Inferred · not functionally tested: Oneformer Ade20k Swin Large focuses on performing unified image segmentation without task-specific models or architectures. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who is Oneformer Ade20k Swin Large for?
- Inferred · not functionally tested: Oneformer Ade20k Swin Large is an open-source project built for machine learning researchers and developers.
- Does Oneformer Ade20k Swin Large have a free plan?
- Basis unknown · not verified: Yes — Oneformer Ade20k Swin Large is open source under the MIT license and free to use.
- What platforms does Oneformer Ade20k Swin Large run on?
- Basis unknown · not verified: Oneformer Ade20k Swin Large runs on the web and API.
- Is Oneformer Ade20k Swin Large still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What projects are similar to Oneformer Ade20k Swin Large?
- Similar projects tracked by PulseGate include Oneformer Ade20k Swin Tiny, Oneformer Cityscapes Swin Large, and Oneformer Coco Swin Large.Oneformer Ade20k Swin TinyOneformer Cityscapes Swin LargeOneformer Coco Swin Large
- Who develops Oneformer Ade20k Swin Large?
- Oneformer Ade20k Swin Large is developed by shi-labs.
- When did Oneformer Ade20k Swin Large launch?
- Oneformer Ade20k Swin Large first shipped in 2022.
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