Object Detection

onestop2 Computer Vision Project


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Here are a few use cases for this project:

  1. Vehicle Classification Systems: The model could be used in real-time vehicle classification systems, used in traffic monitoring or road toll applications, to recognize and identify different vehicle classes such as trucks, buses, cars, motorcycles, etc.

  2. Surveillance and Security: The model can be implemented in security systems of high-risk facilities (like airports, government building) or parking lots to ensure only certain types of vehicles have access, identifying unauthorized or suspicious vehicles.

  3. Automotive Industry Quality Control: The car manufacturers could use the model in production lines to ensure that the correct components have been used and assembled correctly, by identifying different types of vehicles and classes.

  4. Traffic Management Systems: The model can be used by city traffic control systems to analyze the types of vehicles using specific routes at particular times, aiding in optimized traffic planning and congestion management.

  5. Autonomous Vehicles: Autonomous cars could utilize this model to better understand the driving environment and dynamically adjust the driving strategy according to the types and classifications of surrounding vehicles.

Cite this Project

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

@misc{ onestop2_dataset,
    title = { onestop2 Dataset },
    type = { Open Source Dataset },
    author = { new-workspace-nvzug },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { apr },
    note = { visited on 2023-12-03 },

Find utilities and guides to help you start using the onestop2 project in your project.

Last Updated

2 years ago

Project Type

Object Detection



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