retinaface is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named retinaface among their alternatives. The relationship is not symmetric — how retinaface rates them is a separate judgement, made when retinaface is analysed in its own right.
calls retinaface “Choose it for a maintained pip-installable Python face detector with alignment, accepting a heavier runtime than the seed.”
An open source library for face detection in images. The face detection speed can reach 1000FPS.
calls retinaface “Use when you want a maintained pip-installable Python RetinaFace library with a high-level API and do not need the seed's edge-focused 1MB model.”
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
calls retinaface “A standalone face detection library focused on RetinaFace, narrower than the full InsightFace suite.”
State-of-the-art 2D and 3D Face Analysis Project