A tensorflow/keras implementation of a facial emotion recognition model based on a convolutional neural network architecture and trained on the FER2013 dataset with FERPlus labels.
- Keras
- Tensorflow
- OpenCV
- matplotlib
- sklearn
- numpy
Datasets used in this project is downloaded from - (https://www.kaggle.com/) The FER 2013 dataset consists of 35887 images. Emotions=[Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise}