Deep Learning and Yolov2 for Object Classification
Version 1.0.0 (1,32 Mo) par
Claudia Fernanda Yasar
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
Deep Learning Implementation with Yolov2 for Object Detection
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.
Citation pour cette source
Claudia Fernanda Yasar (2024). Deep Learning and Yolov2 for Object Classification (https://www.mathworks.com/matlabcentral/fileexchange/168121-deep-learning-and-yolov2-for-object-classification), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2024a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxTags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 |
|