https://github.com/dho-rae/emotion-detector
A facial expression recognition system that identifies emotions in real-time video and images using deep learning. Trained on the FER-2013 dataset, this program utilizes TensorFlow/Keras to classify emotions into Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral. It features OpenCV for face detection and a Tkinter GUI for easy interaction.
https://github.com/dho-rae/emotion-detector
artificial-intelligence computer-vision deep-learning emotion-detection facial-recognition gui-application image-processing machine-learning python real-time-processing
Last synced: about 2 months ago
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A facial expression recognition system that identifies emotions in real-time video and images using deep learning. Trained on the FER-2013 dataset, this program utilizes TensorFlow/Keras to classify emotions into Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral. It features OpenCV for face detection and a Tkinter GUI for easy interaction.
- Host: GitHub
- URL: https://github.com/dho-rae/emotion-detector
- Owner: dho-rae
- Created: 2025-03-14T15:08:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-15T10:50:10.000Z (over 1 year ago)
- Last Synced: 2025-03-15T11:29:13.329Z (over 1 year ago)
- Topics: artificial-intelligence, computer-vision, deep-learning, emotion-detection, facial-recognition, gui-application, image-processing, machine-learning, python, real-time-processing
- Language: Python
- Homepage:
- Size: 70.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0