dlunion/DBFace

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1355 stars · 299 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DBFace is a real-time, single-stage face detection model implemented in Python, offering small model sizes with high accuracy on the WiderFace benchmark. It supports export to ONNX and deployment via TensorRT and ncnn for fast inference.

Use cases

• detect faces in images in real time
• run lightweight face detection on edge devices
• deploy a face detector with TensorRT or ncnn
• benchmark face detection accuracy on WiderFace
• train a custom small face detection model
• find small and hard-to-detect faces in crowded images

When to choose

• you need fast, accurate face detection with a tiny model footprint
• you want a single-stage detector that outperforms RetinaFace-MobileNetV2 on hard faces
• you plan to deploy to mobile or embedded via ONNX/TensorRT/ncnn

When to avoid

• you need general object detection beyond faces
• you require a maintained project with an active release cadence and a clear license
• you need facial landmark or recognition features out of the box

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cpp cross-platform face-detection object-detection real-time-inference onnx tensorrt ncnn widerface single-stage-detector gpu

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markdown · JSON · MCP: product_card(name="dlunion/DBFace")