RetinaFace
PulseGate's liveness check found it on 20 Sep 2026; it has been in the index since 20 Sep 2026. How this is checked
RetinaFace is an MIT-licensed Python face detection model that identifies multiple faces and five facial landmarks in images. It supports CPU and GPU inference, pretrained weights, real-time processing, and integration into computer vision pipelines.
Inferred · not functionally tested
Overview
6 featuresPurpose: Detecting faces and facial landmarks accurately in images for computer vision applications.
Inferred · not functionally tested
Audience: computer vision developers and researchers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: API, CLI · deployment: cli, self_hosted, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: retinaface.com. These links do not verify the individual claims.
RetinaFace sits in PulseGate's Computer vision, OCR & document AI category. Inferred · not functionally tested: It focuses on detecting faces and facial landmarks accurately in images for computer vision applications. Inferred · not functionally tested: It is built as an open-source project for computer vision developers and researchers. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: RetinaFace is available on the command line and API, and it can be self-hosted.
InsightFace Project builds and maintains RetinaFace. Inferred · not functionally tested: Among its 6 catalogued features are multi-face detection, facial landmarks, and face alignment.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-face detection
- Facial landmarks
- Face alignment
- 3D mesh reconstruction
- CPU inference
- GPU inference
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed20 Sep · 15:06 UTCRetinaFace: Open-source precise AI face detection and analysis seen via Hacker News firehose (Algolia)Source: Hacker News firehose (Algolia) · Open
Frequently asked questions about RetinaFace
- What does RetinaFace do?
- Inferred · not functionally tested: RetinaFace focuses on detecting faces and facial landmarks accurately in images for computer vision applications. It is catalogued under Computer vision, OCR & document AI on PulseGate.
- Who is RetinaFace for?
- Inferred · not functionally tested: RetinaFace is an open-source project built for computer vision developers and researchers.
- Is RetinaFace free?
- Basis unknown · not verified: Yes — RetinaFace is open source under the Open Source license and free to use.
- What platforms does RetinaFace run on?
- Basis unknown · not verified: RetinaFace runs on the command line and API. It can also be self-hosted.
- Is RetinaFace still active?
- PulseGate's liveness check found it on 20 Sep 2026.
- Who makes RetinaFace?
- RetinaFace is developed by InsightFace Project.
- Is RetinaFace open source?
- Basis unknown · not verified: Yes — RetinaFace is open source under the Open Source license.
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