oarriaga/face_classification

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5735 stars · 1606 forks observed · 2026-08-28

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

A Python project providing real-time face detection with emotion and gender classification using a Keras CNN trained on fer2013 and IMDB datasets, with OpenCV for video capture. It includes demo scripts, training pipelines, and a Docker image, but is deprecated in favor of the author's PAZ library.

Use cases

• detect faces in webcam video in real time
• classify facial emotions from images
• predict gender from face photos
• train an emotion classifier on fer2013
• run face classification in a docker container
• visualize CNN attention with grad-cam

When to choose

• you need a simple, well-known baseline for face emotion or gender classification
• you want reference code for training CNNs on fer2013 or IMDB-WIKI datasets
• you need a quick real-time webcam demo with OpenCV and Keras

When to avoid

• you need maintained code or TensorFlow 2.x support - the repo is deprecated in favor of oarriaga/paz
• you need high accuracy emotion recognition (fer2013 accuracy is only 66%)
• you need production-grade face analysis pipelines

Facets

library · maturity abandoned

computer-vision image-processing machine-learning deep-learning computer-vision image-processing machine-learning deep-learning python cross-platform face-detection emotion-recognition gender-classification keras opencv fer2013 real-time deprecated docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="oarriaga/face_classification")