Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.
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Updated
May 11, 2018 - Jupyter Notebook
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distracted
Here are 3 public repositories matching this topic...
Distracted Driving Detection using Python
machine-learning
deep-neural-networks
ai
random-forest
tensorflow
keras
python-3-6
logitech
keras-tensorflow
steering
g920f
driving-data
distracted
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Updated
Dec 17, 2019 - Python
In this, you are given driver images, each taken in a car with a driver doing something in the car (texting, eating, talking on the phone, makeup, reaching behind, etc). Your goal is to predict the likelihood of what the driver is doing in each picture. The 10 classes to predict are as follows, c0: safe driving c1: texting - right c2: talking on…
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Updated
Jul 4, 2021 - Jupyter Notebook
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