Georgia Institute of Technology

Pothole Detection

Object Detection

Pothole Detection Computer Vision Project

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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{ pothole-detection-mev9q_dataset,
    title = { Pothole Detection Dataset },
    type = { Open Source Dataset },
    author = { Georgia Institute of Technology },
    howpublished = { \url{ https://universe.roboflow.com/georgia-institute-of-technology-bwqcc/pothole-detection-mev9q } },
    url = { https://universe.roboflow.com/georgia-institute-of-technology-bwqcc/pothole-detection-mev9q },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-08 },
}

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Last Updated

8 months ago

Project Type

Object Detection

Subject

Potholes

Classes

pothole

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Downloads: 23

Downloads in previous 30 days: 7

License

CC BY 4.0