Given a dataset consisting of driver images in car and corresponding labels for 10 categories (ex. safe driving, texting, talking etc). Task was to build a classification model to predict the likelihood of what the driver is doing in each picture.
This model was build on VGG16 with dense Layer on top.
This was a kaggle competition : https://www.kaggle.com/c/state-farm-distracted-driver-detection