Skip to content

Padasdaf/Object-Detection-Autonomous-Vehicles

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 

Repository files navigation

Object Detection Autonomous Vehicles

These are object detection algorithms designed for autonomous vehicles with a 0.99 confidence score! The focus was on effectively harnessing the Darknet architecture of YOLO. Utilizing the libraries of TensorFlow, Keras, and PyTorch, the program leverages these advanced machine-learning techniques to identify and classify various objects on the road, ensuring safe and efficient navigation.

About

Object detection algorithms designed for autonomous vehicles with a 0.99 confidence score!

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published