rekharchandran / Traffic-Sign-Detection-Using-Yolov5 Public

Notifications You must be signed in to change notification settings
Fork 3
Star 16

YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darknet) and emphasizes ease of use and quickness of training and inference.

16 stars 3 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
README.md		README.md
Trafficsigns_yolov5.ipynb		Trafficsigns_yolov5.ipynb
dataset.yaml		dataset.yaml

Repository files navigation

Traffic-Sign-Detection-Using-Yolov5

Yolov5 to train our custom object detection model.

official YOLOv5 notebook by Ultralytic :https://www.kaggle.com/ultralytics/yolov5/notebook

Github: https://github.com/ultralytics/yolov5

DataSet: https://www.kaggle.com/valentynsichkar/traffic-signs-dataset-in-yolo-format

HOW TO: Install PyTorch (with GPU) in Windows 10 : https://www.youtube.com/watch?v=eodnCUzSeTk

About

YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darknet) and emphasizes ease of use and quickness of training and inference.

cuda pytorch gpu-computing cudnn keras-tensorflow nivida yolov5

Report repository

Releases

No releases published

Packages

No packages published

Languages

Jupyter Notebook 100.0%