atulapra/Emotion-detection

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1359 stars · 552 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python application that performs real-time facial emotion detection from a webcam feed using a CNN trained on the FER-2013 dataset. It uses Haar cascades for face detection and TensorFlow/Keras to classify faces into seven emotions.

Use cases

• detect emotions from faces in a webcam feed in real time
• classify facial expressions into seven emotion categories
• train a CNN on the FER-2013 dataset
• learn how to combine OpenCV face detection with a deep learning classifier
• run a pretrained facial emotion recognition model

When to choose

• you want a simple, working real-time facial emotion recognition demo
• you need a reference implementation for FER-2013 with TensorFlow 2.x and Keras
• you are learning computer vision pipelines combining Haar cascades and CNNs

When to avoid

• you need production-grade accuracy - the model only reaches ~63% test accuracy
• you need a maintained library or API rather than a demo project
• you need emotion recognition beyond the seven FER-2013 categories or on static images at scale

Facets

application · maturity maintenance

computer-vision image-processing deep-learning machine-learning computer-vision deep-learning machine-learning artificial-intelligence python cross-platform emotion-recognition facial-expression fer2013 haar-cascade opencv tensorflow cnn webcam real-time

Member repositories

For agents

markdown · JSON · MCP: product_card(name="atulapra/Emotion-detection")