car detection


Object Detection

cars-cropped Computer Vision Project

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Here are a few use cases for this project:

  1. Traffic Monitoring: The "cars-cropped" model can be used in traffic monitoring systems to differentiate between cars and bus stops, noting the presence of LotSigns. It would use this information to manage traffic flow, possibly altering signals based on the volume of traffic.

  2. Parking Management: It can be used in automated parking systems, identifying cars entering and exiting while also detecting LotSigns to regulate parking activity.

  3. Public Transportation Planning: This model could be used by city planners to evaluate the effectiveness of bus stop placement and usage by distinguishing them from cars in traffic.

  4. Surveillance and Security: In security applications, the model can track vehicular activity around specific areas like bus stops or parking lots, making note of cars that linger suspiciously or otherwise behave out of ordinary.

  5. Advertising and Market Research: Companies could use this model to assess the prevalence of certain car makes or models in specific areas, or to gauge the frequency of bus stop usage, providing valuable market data.

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{ cars-cropped_dataset,
    title = { cars-cropped Dataset },
    type = { Open Source Dataset },
    author = { car detection },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { may },
    note = { visited on 2023-12-05 },

Find utilities and guides to help you start using the cars-cropped project in your project.


car detection

Last Updated

7 months ago

Project Type

Object Detection




LotSign, bus stop, car

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CC BY 4.0