Object Detection

CCTVv2 Computer Vision Project


8506 images
Explore Dataset

Here are a few use cases for this project:

  1. Traffic Management: The "CCTVv2" model can be used by traffic control authorities to monitor traffic flow on highways and city streets, differentiating between various types of vehicles such as cars, trucks, motorbikes, and buses. This can assist in making efficient traffic management decisions, adjusting traffic signals and managing congestion.

  2. Fleet Management: Businesses involved in fleet management can utilize this model to keep track of different kinds of vehicles such as light trucks, heavy trucks, and buses in their fleet, thus optimizing vehicle usage and maintenance schedules.

  3. Toll Collection Automation: Automated toll booths can use this model to classify vehicles and apply appropriate charges based on the type of vehicle. This can improve efficiency and reduce human errors.

  4. Road Safety: The model can be used for identifying driving behavior patterns, such as overspeeding or unsafe proximity among different types of vehicles, contributing to road safety efforts.

  5. Urban Planning: City planners and transportation departments can use data gathered from this model for strategic urban planning, such as determining where to expand or adjust roads based on vehicle frequency and type.

Cite this Project

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

@misc{ cctvv2_dataset,
    title = { CCTVv2 Dataset },
    type = { Open Source Dataset },
    author = { CCTV },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { feb },
    note = { visited on 2023-12-05 },

Find utilities and guides to help you start using the CCTVv2 project in your project.



Last Updated

2 years ago

Project Type

Object Detection




bus, car, heavy truck, light truck, motorbike

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Views in previous 30 days: 46

Downloads: 28

Downloads in previous 30 days: 1


CC BY 4.0

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