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crack Computer Vision Project

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This is an Instance Segmentation project for visualizing detected cracks on concrete. This dataset is usable for those doing transportation and public safety studies, creating self-driving car models, or testing out computer vision models for fun.

Check out this example guide from Augmented Startups to see the model in action and learn how the dataset came together: https://medium.com/augmented-startups/yolov7-segmentation-on-crack-using-roboflow-dataset-f13ae81b9958

Inferred Image from YOLOv7

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{ crack-bphdr_dataset,
    title = { crack Dataset },
    type = { Open Source Dataset },
    author = { University },
    howpublished = { \url{ https://universe.roboflow.com/university-bswxt/crack-bphdr } },
    url = { https://universe.roboflow.com/university-bswxt/crack-bphdr },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-02-01 },
}

Source

University

Last Updated

2 months ago

Project Type

Instance Segmentation

Subject

concrete

Classes

crack

License

Public Domain