Deep Learning and Yolov2 for Object Classification

Capture images of oranges and apples and apply deep-learning techniques to classify them for robotic tasks.

Intelligent Control Systems by Asst. Prof. Dr. Claudia F. Yaşar

This repository contains the curriculum materials used for the Intelligent Control Systems course YTU Department of Control and Automation Engineering.

Deep-Learning-with-Yolov2-for-Object-Classification

We explore machine learning for image classification, using a camera to capture and classify images of objects like oranges and apples. This demonstrates how classification models can enhance pick-and-place operations in industrial robots, showcasing practical applications of machine learning in automating industrial processes.

Important! All the required files are shared using MATLAB Drive. upload all these files to your MATLAB current folder

https://drive.mathworks.com/sharing/33608e90-9953-46ad-b7fc-0329a731bf99

Deep Learning Implementation with Yolov2 for Object Detection

Video: https://www.youtube.com/watch?v=CyfoL8sGzS4

Acknowledgements

I would like to express my gratitude to the students of the Intelligent Control Systems course of the YTÜ Control and Automation Engineering department, Class 2022 and 2023, whose dedication and hard work made this project possible. I am also deeply thankful to our Control Tech LAB team, Doctors Marco Rossi, and Melda Ulusoy for their invaluable contributions.