This repository is a series of Computer Vision Projects merged from different tutorials articles or videos. The goal is to use the latest version of YOLOv8 to perform different kind of tasks.
This project aims to count the different types of vehicles present in traffic (motorcycle, bus, truck, or cars) and also determine the speed of each vehicle.
This project aim to count how many people are you going down or up an escalator
This project aim to analyse all the 80 default classes trained by YOLOv8
This project was built for a part of the vision recognition for the autonomous software pipeline of ROMIE ROMIE is now able to detect the staff around him and determine if they are wearing or NOT: - protective helmet - protective mask - construction flashy jacket
ROMIE is also able to detect different types of rocks/stones during its journey.
This was performed by training the data from (source) using the training function from YOLOv8. You can see the different results obtained:
Results for security equipment training data:
Results for rocks/stone training data:
Everything can be performed in the jupyter notebook.