/Traffic-Signs-dataset-in-YOLO-v5-format

YOLO v5 format of the traffic signs dataset to train and test detector

MIT LicenseMIT

Traffic Signs dataset in YOLO v5 format

YOLO v5 format of the traffic signs dataset to train and test detector.
Trained weights can be found inside the course mentioned below.

Explore the dataset used for training & testing 👇

https://www.kaggle.com/datasets/valentynsichkar/yolo-v5-format-of-the-traffic-signs-dataset

The main 4 categories of the traffic signs are as following:

prohibitory danger mandatory other
speed limit priority at next intersection go right restriction ends
no overtaking danger go left priority road
no traffic both ways bend left go straight give way
no trucks bend right go right or straight stop
bend go left or straight no entry
uneven road keep right
slippery road keep left
road narrows roundabout
construction
traffic signal
pedestrian crossing
school crossing
cycles crossing
snow
animals


🎓 YOLO v5: Label, Train and Test. Join the course! 👇

https://www.udemy.com/course/yolo-v5-label-train-and-test

Have a look at the abilities that you will obtain:
📢 Run YOLO v5 to detect objects on image, video and in real time by camera in the first lectures.
📢 Label-Create-Convert own dataset in YOLO format.
📢 Train & Test both: in your local machine and in the cloud machine (with custom data and by few lines of the code).


Concept map of the YOLO v5 course 👇

Concept map of the YOLO v5 course


Join the course! 👇

https://www.udemy.com/course/yolo-v5-label-train-and-test


MIT License

Copyright (c) 2024 Valentyn N Sichkar

github.com/sichkar-valentyn

Reference to:

Valentyn N Sichkar. Traffic Signs dataset in YOLO v5 format // GitHub platform