Roboflow Universe Roboflow 100 underwater pipes

underwater pipes Computer Vision Project

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This dataset was originally created by Wojciech Przydział, Dorota Przydział, Magdalena Przydział-Mazur, Bartłomiej Mazur. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/underwaterpipes/underwater_pipes_orginal_pictures.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

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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.

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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{ underwater-pipes-4ng4t_dataset,
    title = { underwater pipes Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ https://universe.roboflow.com/roboflow-100/underwater-pipes-4ng4t } },
    url = { https://universe.roboflow.com/roboflow-100/underwater-pipes-4ng4t },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { may },
    note = { visited on 2023-12-02 },
}