Roboflow Universe tarp two wheeler lane

two wheeler lane Computer Vision Project

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Images

193 images

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Index 0 - helmet 1 - license plate 2 - motorcycle (two-wheeler) 3 - face 4 - front 5 - rear

Usecase:

To detect if the two wheeler is driving in the correct lane (either towards the camers - front, or away from camera - rear)
To detect helmets and license plates

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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ two-wheeler-lane_dataset,
    title = { two wheeler lane Dataset },
    type = { Open Source Dataset },
    author = { tarp },
    howpublished = { \url{ https://universe.roboflow.com/tarp-blmh5/two-wheeler-lane } },
    url = { https://universe.roboflow.com/tarp-blmh5/two-wheeler-lane },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-11-29 },
}