deepface and awesome-face
The first tool is a Python library for face analysis, while the second is a repository curating face technology resources; therefore, the tools are complements, as the repository could list or provide information relevant to using the library.
About deepface
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
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.
About awesome-face
becauseofAI/awesome-face
An awesome face technology repository.
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