YOLOR-Road-Signs-Object-detection

Author: Younes EL BOUZEKRAOUI

Author Email: ybouzekraoui3@gatech.edu

Demo:

Note that it might take few minutes to run all the cells and get the results.

Dataset

Please Download the https://benchmark.ini.rub.de/gtsdb_dataset.html and place the folder FullIJCNN2013 in the same repositoty as the notebook

Programming language and Libraries

All the code related to this assignement, the results and the ploted figures are in the jupyter notebook file.

The programming language used is Python (Python 3) and the libraries used are :

• Pandas
• Numpy
• Matplotlib
• Random
• shutil
• cv2
• sklearn
• tqdm

Please make sure to have Jupter notebook and all the libraries above installed .