Speed limit detection Computer Vision Project
This project aims for detecting speed limit signs in roads using trained YOLOv8 model on dataset contains speed limit signs of different speeds. dataset was collected randomly from search engines and some from kaggle .
classes :
It has 9 classes {'stop', 'speed-limit-20', 'speed-limit-30', 'speed-limit-50', 'speed-limit-60', 'speed-limit-80', 'speed-limit-100', 'speed-limit-120}'
Spoliling Alert :
you can download the model and improve it's performance by retraining it on more images , you can even extend its classess by adding images of different speeds , keep in mind to gather images of signs in real-world roads.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
speed-limit-detection-ifsnl_dataset,
title = { Speed limit detection Dataset },
type = { Open Source Dataset },
author = { Graduation Project },
howpublished = { \url{ https://universe.roboflow.com/graduation-project-bxm12/speed-limit-detection-ifsnl } },
url = { https://universe.roboflow.com/graduation-project-bxm12/speed-limit-detection-ifsnl },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-05-02 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Speed limit detection project in your project.