Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.
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May 11, 2018 - Jupyter Notebook
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distracted
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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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Jul 4, 2021 - Jupyter Notebook
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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Dec 17, 2019 - Python
Machine Learning Engineer Nanodegree - Capstone Project - State Farm Distracted Driver Detection
machine-learning udacity deep-learning driver capstone kaggle classification machine-learning-nanodegree distracted
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May 8, 2018 - Python
🚫 Block distracting websites and boost focus with fun mini tasks that keep you on track while keeping your data private.
tracker machine-learning ai detection pyqt5 driver cnn sort object-detection tired dlib-tracker distracted deepsort yolov5 yolov5-deepsort
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Jan 26, 2026 - JavaScript
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