davidsandberg/facenet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

14343 stars · 4774 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of the FaceNet face recognizer that generates 128-dimensional face embeddings, including face detection via MTCNN and pretrained Inception ResNet v1 models. It also supports training classifiers on custom face datasets.

Use cases

• recognize faces in images with deep learning
• generate face embeddings for clustering
• train a face classifier on my own photos
• detect and align faces with mtcnn
• compare two face images for identity
• build a face verification system

When to choose

• you need a well-known FaceNet implementation with pretrained models and LFW benchmark results
• you want to train a face classifier on your own image dataset
• you are working with TensorFlow 1.x and Python 2.7/3.5

When to avoid

• you need modern TensorFlow 2.x support or active maintenance
• you need state-of-the-art face recognition accuracy on recent benchmarks
• you need production support or timely bug fixes

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python cross-platform facenet face-recognition face-embeddings mtcnn tensorflow pretrained-models lfw linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="davidsandberg/facenet")