Followb1ind1y/Distracted-Driver-Detection-Project
State Farm Distracted Driver Detection Project using PyTorch
This project helps automotive safety analysts or insurance risk assessors automatically identify distracted driving behaviors from dashboard camera images. It takes raw 2D dashboard camera photos as input and classifies the driver's activity, such as safe driving, texting, or drinking, providing a likelihood score for each behavior. The output is a categorization of driver behavior, useful for flagging risky situations or improving driver coaching programs.
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Use this if you need to automatically detect and classify distracted driving behaviors from dashboard camera footage to improve road safety or insurance risk assessment.
Not ideal if you require real-time, in-vehicle driver assistance systems or need to analyze behaviors not covered by the ten pre-defined distraction categories.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Mar 20, 2023
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