Training a Convolutional Neural Network to recognize The Simpson TV Show characters using Keras (TensorFlow backend).
To have more detailed explanations, see the blog article on Medium. If you like it, don't hesitate to recommend it (as for the dataset on Kaggle)
The first part is collecting and labeling Simpson pictures.
Most of the pictures are from Simpson video, analyzed frame by frame.
Run python3 label_data.py into a folder with Simpson episodes (.avi format) to analyze them and label frames.
You crop each frame (left part, right part, full-frame, nothing) and then label it.
You can find the dataset on Kaggle
The second part is training the model. My goal is to have 20 classes. I aim to have 1000 pictures per class, unfortunately some characters are not often on screen so I have fewer pictures for those characters.
As you can see on the Jupyter notebook, I benchmark two models : 4 and 6 convolutional layers neural networks. Because of the small number of pictures (approx. 1k pictures per class), I use data augmentation.
Currently, I have 95% of accuracy for 18 classes.
