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MHSeals Competition Dataset

The MHSeals Competition Dataset consists of images used for training and testing in the Roboboat competition, curated by the MHSeals team from James Martin High School. The dataset encompasses images of buoys and other objects used in the competition, essential for the competition's autonomous navigation tasks.

License: This dataset is licensed under CC BY-NC-SA 4.0, which requires adherence to specific usage rules. It is imperative to comply with the terms outlined in the license when utilizing this dataset.

Data Sources:

MHSeals: Images and videos captured by the MHSeals team during their participation in the competition.
Tecnologico de Monterrey (CC BY 4.0)
Cornell Autoboat (CC BY 4.0)
UM Autonomy (CC BY 4.0)

Access:

The pre-trained model associated with this dataset is accessible here.
For older versions of the dataset, visit the archive here.

For additional information about the MHSeals team and our participation in the Roboboat competition, visit their website: https://mhsroboboat.com/.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new 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{
                            buoys-4naae_dataset,
                            title = { Buoys Dataset },
                            type = { Open Source Dataset },
                            author = { MHSeals },
                            howpublished = { \url{ https://universe.roboflow.com/mhseals/buoys-4naae } },
                            url = { https://universe.roboflow.com/mhseals/buoys-4naae },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-05-02 },
                            }