Coco Panoptic Eomt Large 640
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and Hugging Face and has been in the index since 4 Aug 2026. How this is checked
This model implements EoMT (Encoder-only Mask Transformer) for universal image segmentation on the COCO panoptic dataset. It performs both semantic and instance segmentation in a unified framework, suitable for computer vision research and applications requiring detailed scene understanding. The large 640px variant balances accuracy and computational requirements for practical deployment.
Inferred · not functionally tested
Overview
3 featuresPurpose: Accurately segmenting images into semantic and instance masks for panoptic scene understanding.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: Unknown
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.
In the Computer vision, OCR & document AI space, Coco Panoptic Eomt Large 640 takes a focused approach. Inferred · not functionally tested: Accurately segmenting images into semantic and instance masks for panoptic scene understanding. Inferred · not functionally tested: Coco Panoptic Eomt Large 640 is an open-source project aimed at developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the web and API.
Behind Coco Panoptic Eomt Large 640 is Mobile Perception Systems Lab, and it first shipped in 2025. The project is developed in the open on GitHub with 615 stars and 3 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Panoptic Segmentation, Image Segmentation, and Vision Transformer.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Panoptic Segmentation
- Image Segmentation
- Vision Transformer
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed4 Aug · 15:35 UTCtue-mps/coco_panoptic_eomt_large_640 seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Coco Panoptic Eomt Large 640
- What does Coco Panoptic Eomt Large 640 do?
- Inferred · not functionally tested: Accurately segmenting images into semantic and instance masks for panoptic scene understanding. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who is Coco Panoptic Eomt Large 640 for?
- Inferred · not functionally tested: Coco Panoptic Eomt Large 640 is an open-source project built for developers.
- Is Coco Panoptic Eomt Large 640 free?
- Basis unknown · not verified: Yes — Coco Panoptic Eomt Large 640 is open source under the MIT license and free to use.
- What platforms does Coco Panoptic Eomt Large 640 run on?
- Basis unknown · not verified: Coco Panoptic Eomt Large 640 runs on the web and API.
- Is Coco Panoptic Eomt Large 640 still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 3 commits in the last 90 days.
- Who makes Coco Panoptic Eomt Large 640?
- Coco Panoptic Eomt Large 640 is developed by Mobile Perception Systems Lab.
- When did Coco Panoptic Eomt Large 640 launch?
- Coco Panoptic Eomt Large 640 first shipped in 2025.
- Is Coco Panoptic Eomt Large 640 open source?
- Basis unknown · not verified: Yes — Coco Panoptic Eomt Large 640 is open source under the MIT license, developed on GitHub.
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