serengil/deepface

Built on a modular pipeline architecture, DeepFace wraps multiple state-of-the-art face recognition models (VGG-Face, FaceNet, ArcFace, Dlib, etc.) to handle detection, alignment, normalization, representation, and verification in a unified API. Beyond pairwise verification, it supports large-scale face recognition through both directory-based and database-backed search with approximate nearest neighbor indexing across PostgreSQL, MongoDB, Neo4j, Pinecone, and Weaviate backends. The library achieves >97% accuracy on facial recognition benchmarks while abstracting away the underlying deep learning complexity.

22,373 stars and 878,086 monthly downloads. Used by 1 other package. Available on PyPI.