Name: Traffic Dataset Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

880 images

Explore Dataset

Here are a few use cases for this project:

Traffic Flow Analysis: The dataset can be used in machine learning models to analyze traffic flow in cities. It can identify the type of vehicles on the city roads at different times of the day, helping in planning and traffic management.
Vehicle Class Based Toll Collection: Toll booths can use this model to automatically classify and charge vehicles based on their type, enabling a more efficient and automated system.
Parking Management System: Parking lot owners can use this model to easily classify vehicles as they enter for better space management. Knowing the vehicle type can help assign it to the most suitable parking spot.
Traffic Rule Enforcement: The dataset can be used to create a computer vision model to automatically detect any traffic violations like wrong lane driving by different vehicle types, and notify law enforcement agencies.
Smart Ambulance Tracking: The system can help in identifying and tracking ambulances and other emergency vehicles, enabling traffic management systems to provide priority routing during emergencies.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            traffic-dataset-z21ak_dataset,
                            title = { Traffic Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Traffic },
                            howpublished = { \url{ https://universe.roboflow.com/traffic/traffic-dataset-z21ak } },
                            url = { https://universe.roboflow.com/traffic/traffic-dataset-z21ak },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { oct },
                            note = { visited on 2024-04-19 },
                            }