This is stars and forks stats for /atulapra/Emotion-detection repository. As of 06 May, 2024 this repository has 1001 stars and 430 forks.
Emotion detection using deep learning Introduction This project aims to classify the emotion on a person's face into one of seven categories, using deep convolutional neural networks. The model is trained on the FER-2013 dataset which was published on International Conference on Machine Learning (ICML). This dataset consists of 35887 grayscale, 48x48 sized face images with seven emotions - angry, disgusted, fearful, happy, neutral, sad and surprised. Dependencies Python 3, OpenCV, Tensorflow To install...
Emotion detection using deep learning Introduction This project aims to classify the emotion on a person's face into one of seven categories, using deep convolutional neural networks. The model is trained on the FER-2013 dataset which was published on International Conference on Machine Learning (ICML). This dataset consists of 35887 grayscale, 48x48 sized face images with seven emotions - angry, disgusted, fearful, happy, neutral, sad and surprised. Dependencies Python 3, OpenCV, Tensorflow To install...
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