otaha178/Emotion-recognition

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1236 stars · 372 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 recognition from a webcam feed using a convolutional neural network. It displays detected emotion probabilities and includes a pretrained model plus training scripts based on the FER2013 dataset.

Use cases

• recognize emotions from webcam video in real time
• classify facial expressions like happy or angry
• run a pretrained emotion detection demo
• train a CNN emotion classifier on FER2013
• show probability bars for mixed emotions on a face

When to choose

• you need a quick real-time facial emotion recognition demo
• you want a pretrained FER2013 model to experiment with
• you are learning how CNNs are applied to facial expression recognition

When to avoid

• you need production-grade accuracy (test accuracy is only ~66%)
• you need a maintained library with an API rather than a demo script
• you need multi-face tracking or advanced emotion models

Facets

application · maturity maintenance

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

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markdown · JSON · MCP: product_card(name="otaha178/Emotion-recognition")