sahilee26 / Driver-Distraction-detection

Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

Distracted Driver Detection

Problem Definition:

Given Statefarm dataset of 2D dashboard car images , this kaggle challenge gives task of classifying each driver's behavior.

Examples:

The images are labeled following a set of 10 categories:

Class	Description
c0	Safe driving.
c1	Texting (right hand).
c2	Talking on the phone (right hand).
c3	Texting (left hand).
c4	Talking on the phone (left hand).
c5	Operating the radio.
c6	Drinking.
c7	Reaching behind.
c8	Hair and makeup.
c9	Talking to passenger(s).

Brief

I used keras for importing VGG model and then added extra layers(4 dense, 2 dropout and Average Pooling) on top of network that I trained using the dataset.

Dependencies

• Python 3.6.1
• Tensorflow 1.3.0
• Keras 2.1.2
• matplotlib 2.0.2
• numpy 1.12.1