My first AI project for estimating age and recognizing facial expressions. UTKFace and FER-2013 datasets were used as well as some popular Python libraries like OpenCV, TensorFlow, and Keras.
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Aug 10, 2024 - Python
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fer-2013
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Tackling the FER-2013 dataset using different DL models while focusing more on a data centric approach.
deep-learning python3 facial-recognition facial-expression-recognition fer-2013 data-centric-approach
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May 3, 2024 - Jupyter Notebook
Multi-Class Deep facial emotion classification (vision)
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Aug 31, 2024 - Jupyter Notebook
A 5-layer CNN model for facial emotion recognition trained on FER-2013. Achieved 76% validation and 63% test accuracy using data augmentation. Key features include convolutional layers, max pooling, and dropout. Suitable for human-computer interaction applications.
python machine-learning deep-learning tensorflow numpy scikit-learn keras cnn pandas seaborn classification matplotlib regularization augmentation tf early-stopping efficientnetb4 fer-2013 model-chackpoint
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Apr 12, 2025 - Jupyter Notebook
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