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cyclists_database Computer Vision Project

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Cyclist Detection

Overview

This model helps detect people riding bycicles, and from which direction the cyclist can be seen (front, back, side).

Use Cases

Both self driving and sports broadcasting are great use cases for this model, as it gives great information about how the camera is positioned relative to the rider(s).

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{ cyclists_database_dataset,
    title = { cyclists_database Dataset },
    type = { Open Source Dataset },
    author = { Paweł Brzozowski },
    howpublished = { \url{ https://universe.roboflow.com/pawel-brzozowski/cyclists_database } },
    url = { https://universe.roboflow.com/pawel-brzozowski/cyclists_database },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jun },
    note = { visited on 2023-02-01 },
}

Last Updated

7 months ago

Project Type

Object Detection

Subject

cyclists

Classes

cyclist_back, cyclist_front, cyclist_side, person

License

CC BY 4.0