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 👇

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