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librefacerec-det

Object Detection
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face-detection
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Correct accuracy claims with measured LFW dev-test results
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metadata 
license: mit
library_name: libreyolo
pipeline_tag: object-detection
tags:
  - face-detection
  - onnx
  - libreyolo

librefacerec-det

Lightweight face detector with 5 facial landmarks: the default upstream detector for LibreYOLO's facial-recognition (embed) task. Detected boxes and landmarks feed the canonical 112x112 similarity alignment before embedding. Auto-downloaded on first use; any LibreYOLO detector or custom callable can be substituted via face_detector=.

Provenance and license

  • Mirrored unmodified from the OpenCV Zoo YuNet release (face_detection_yunet_2023mar.onnx), renamed to librefacerec-det.onnx.
  • Weights license: MIT (LICENSE shipped alongside the model in opencv_zoo, copyright Shiqi Yu).
  • SHA-256: 8f2383e4dd3cfbb4553ea8718107fc0423210dc964f9f4280604804ed2552fa4 (verified identical to upstream at mirror time, 2026-07-28).
  • Trained by its authors on the WIDER FACE dataset; see the upstream repository for details.

Notes

Runs via OpenCV's bundled cv2.FaceDetectorYN (no extra dependency in LibreYOLO). Measured 2026-07-28 in the LibreYOLO pipeline on the 2000 funneled LFW dev-test images: a face was found in every image, so no pair was lost to detection failure. LFW is a frontal, well-lit distribution; expect lower recall on profile views, small faces, and difficult lighting.