Face Parsing
PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and Hugging Face and has been in the index since 8 Aug 2026. How this is checked
jonathandinu/face-parsing is an open model for semantic face parsing and image segmentation. Developers can run it locally with Transformers, Transformers.js, PyTorch, ONNX, or Safetensors.
Inferred · not functionally tested
Overview
6 featuresPurpose: Automating pixel-level face-part segmentation in images for computer vision applications.
Inferred · not functionally tested
Audience: machine learning 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: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co · github.com. These links do not verify the individual claims.
Face Parsing sits in PulseGate's Computer vision, OCR & document AI category. Inferred · not functionally tested: It focuses on automating pixel-level face-part segmentation in images for computer vision applications. Inferred · not functionally tested: It is built as an open-source project for machine learning developers. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.
jonathandinu builds and maintains Face Parsing, and it first shipped in 2019. The project is developed in the open on GitHub with 2.3k stars. Inferred · not functionally tested: Key capabilities include face segmentation, image parsing, and transformers pipeline.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Face segmentation
- Image parsing
- Transformers pipeline
- ONNX support
- Safetensors support
- Transformers.js support
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
- Indexed8 Aug · 10:44 UTCjonathandinu/face-parsing seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Face Parsing
- What does Face Parsing do?
- Inferred · not functionally tested: Face Parsing focuses on automating pixel-level face-part segmentation in images for computer vision applications. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who is Face Parsing for?
- Inferred · not functionally tested: Face Parsing is an open-source project built for machine learning developers.
- Does Face Parsing have a free plan?
- Basis unknown · not verified: Yes — Face Parsing is open source under the Open Source license and free to use.
- What platforms does Face Parsing run on?
- Basis unknown · not verified: Face Parsing runs on the web and the command line. It can also be self-hosted.
- Is Face Parsing still active?
- PulseGate's liveness check found it on 8 Oct 2026.
- Who makes Face Parsing?
- Face Parsing is developed by jonathandinu.
- How long has Face Parsing been around?
- Face Parsing first shipped in 2019.
- Is Face Parsing open source?
- Basis unknown · not verified: Yes — Face Parsing is open source under the Open Source license, developed on GitHub.
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