This challenge is about classifying a set of images into 7 emotions (Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral). We need to implement our own model and train it on the dataset provided. This project is available at the following link MLChallenge.
images_notebook.ipynb: Jupyter notebook containing the code which take the images as input and output the predicted emotions with a CNN model.landmarks_notebook.ipynb: Jupyter notebook containing the code which take the landmarks as input and output the predicted emotions with a SVM model.svm_model.pkl: SVM model saved with pickle.cnn_model.pth: CNN model saved with PyTorch.result.csv: CSV file containing the predictions of the CNN model on the final test set.TAROT_POINGT_MONNIER_PLANCHENAULT.pdf: PDF file containing the report of the project.