OneFormer
PulseGate's liveness check found it on 19 Sep 2026; it is registered on Hugging Face Spaces and has been in the index since 19 Sep 2026. How this is checked
OneFormer is an open-source computer-vision model and interactive Hugging Face Space for segmenting images. Users can upload an image, select panoptic, instance, or semantic segmentation, choose a dataset and backbone, and receive a color-coded segmentation map.
Inferred · not functionally tested
Overview
6 featuresPurpose: Segmenting images into panoptic, instance, or semantic regions without building a computer-vision pipeline.
Inferred · not functionally tested
Audience: computer vision researchers and developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: free · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
OneFormer sits in PulseGate's Computer vision, OCR & document AI category. Inferred · not functionally tested: It focuses on segmenting images into panoptic, instance, or semantic regions without building a computer-vision pipeline. Inferred · not functionally tested: OneFormer is an open-source project aimed at computer vision researchers and developers. Basis unknown · not verified: OneFormer costs nothing to use. Basis unknown · not verified: OneFormer is available on the web and the command line, and it can be self-hosted.
Behind OneFormer is shi-labs. Inferred · not functionally tested: Key capabilities include Image Upload, Panoptic Segmentation, and Instance Segmentation.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Image Upload
- Panoptic Segmentation
- Instance Segmentation
- Semantic Segmentation
- Dataset Selection
- Backbone Selection
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
- Indexed19 Sep · 20:03 UTCshi-labs/OneFormer seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about OneFormer
- What does OneFormer do?
- Inferred · not functionally tested: OneFormer focuses on segmenting images into panoptic, instance, or semantic regions without building a computer-vision pipeline. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who should use OneFormer?
- Inferred · not functionally tested: OneFormer is an open-source project built for computer vision researchers and developers.
- Does OneFormer have a free plan?
- Basis unknown · not verified: Yes — OneFormer is free to use.
- What platforms does OneFormer run on?
- Basis unknown · not verified: OneFormer runs on the web and the command line. It can also be self-hosted.
- Is OneFormer still active?
- PulseGate's liveness check found it on 19 Sep 2026.
- Who makes OneFormer?
- OneFormer is developed by shi-labs.
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