This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning and triggers an alarm so that it helps in reducing accidents and forms a first step towards increassing the accuracy for step driving car project by me in near future.
The dataset is obtained from
https://www.kaggle.com/c/state-farm-distracted-driver-detection/data
The dataset contains 22,424 images which belongs to one of the 10 classes given below:
c0: safe driving
c1: texting - right
c2: talking on the phone - right
c3: texting - left
c4: talking on the phone - left
c5: operating the radio
c6: drinking
c7: reaching behind
c8: hair and makeup
c9: talking to passenger
We split the data into two sets: training set containing 20,924 images, and validation set containing 1500 images (e.g., 150 images for each class).