retinaface

Excels in detecting faces in dense or crowded images, as demonstrated in the README's example photo of a volleyball team where multiple faces are accurately located.

Provides precise facial landmark coordinates for eyes, nose, and mouth, enabling face alignment which the README notes can improve recognition accuracy by up to 1%.

Available as a pip-installable package with a straightforward API, shown in the quick start code snippet that imports and uses the library in a few lines.

Designed to integrate with ArcFace for end-to-end face recognition via the DeepFace library, as highlighted in the recognition demo section.