Bus_YOLOv5 Computer Vision Project

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Bus_YOLOv5 is a bus and truck object detection dataset with 9,900 images, and a trained model.

Use the Bus_YOLOv5 dataset and detection API in computer vision applications for transportation, self-driving cars, safety and security, and more. Track busses and trucks using this Bus_YOLOv5 model, or use your home security camera to create notifications for delivery trucks or city busses.

Check out these posts from the Roboflow Blog for inspiration:

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{ bus_yolov5_dataset,
    title = { Bus_YOLOv5 Dataset },
    type = { Open Source Dataset },
    author = { Amejiyo },
    howpublished = { \url{ https://universe.roboflow.com/amejiyo/bus_yolov5 } },
    url = { https://universe.roboflow.com/amejiyo/bus_yolov5 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { sep },
    note = { visited on 2023-01-28 },
}

Source

Amejiyo

Last Updated

4 months ago

Project Type

Object Detection

Subject

bus

Classes

Bus, Truck

License

CC BY 4.0