Topic: distracted-driving-detection Goto Github
Some thing interesting about distracted-driving-detection
Some thing interesting about distracted-driving-detection
distracted-driving-detection,Solves a kaggle problem of State Farm Distracted Driver Detection
User: abhinav1004
distracted-driving-detection,A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe
User: e-candeloro
distracted-driving-detection,Implementation of various ML algorithms and their application to real world problems
User: hamna-moieez
distracted-driving-detection,Contains models implemented from scratch and a project implemented from end-to-end
User: manikumarreddy35
distracted-driving-detection,Zenroad - Open-source telematics app for Android. The application is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications
Organization: mobile-telematics
Home Page: https://www.damoov.com/telematics-app/
distracted-driving-detection,This is a machine learning/neural network model that is used to predict the likelihood of what the driver is doing in the picture.
User: phoenix-1-2
distracted-driving-detection,This Distracted Driver Detection Project is developed by a group of 5 students as part of "CS 539 Machine Learning" Course
User: raj1036
distracted-driving-detection,Detecting a distracted driver using CNNs.
User: samyak24jain
distracted-driving-detection,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 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
User: shsarv
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