Object Detection


trafficcar Computer Vision Project

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Here are a few use cases for this project:

  1. Traffic Management System: Utilize the "trafficcar" model to analyze real-time traffic data from cameras at intersections, identify different elements such as vehicles, pedestrians, lanes, traffic lights, and signs. This will enable city officials and traffic management systems to devise efficient strategies for congestion management, adjusting signal timings, and improving overall traffic flow.

  2. Autonomous Vehicle Navigation: Implement the "trafficcar" model in autonomous vehicles to help them navigate safely by detecting and recognizing various traffic classes. This will enhance the vehicle's decision-making abilities and improve safety for passengers, pedestrians, and other road users.

  3. Smart Parking Solutions: Integrate the "trafficcar" model in applications designed to monitor parking spaces and identify changes in spaces' occupancy status. This would allow the development of smart parking solutions, providing real-time parking availability information and guiding drivers to available spaces, reducing congestion and emissions.

  4. Traffic Incident Analysis: Use the "trafficcar" model for automated analysis of traffic incidents captured on camera. Identify classes like vehicles, pedestrians, lanes, traffic lights, and signs to create a detailed report of the incident for insurance claims or through proper law enforcement agencies, reducing human effort and minimizing human errors during analysis.

  5. Road Infrastructure Planning: Apply the "trafficcar" model to analyze existing road infrastructure data and identify areas that need improvement such as additional signage, traffic lights or pedestrian crossings. This would aid urban planners and civil engineers in creating safer and more efficient transportation networks.

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.

Cite this Project

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

@misc{ trafficcar_dataset,
    title = { trafficcar Dataset },
    type = { Open Source Dataset },
    author = { drushti.gulhane@gmail.com },
    howpublished = { \url{ https://universe.roboflow.com/drushti-gulhane-gmail-com/trafficcar } },
    url = { https://universe.roboflow.com/drushti-gulhane-gmail-com/trafficcar },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { may },
    note = { visited on 2023-11-24 },

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

Last Updated

2 years ago

Project Type

Object Detection



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CC BY 4.0

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