AUV Training Datasets

AUV Training

Object Detection

1

AUV Training Computer Vision Project

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=== AUV Training Dataset === Contributors: Vinay Nagappala, John McCollough, Alex Xu

=== Description === This dataset is meant to be used to train a vareity of deep learning models for the RoboSub competition. Currently, it is being used on a vareity of the YOLOv5 architectures. The majority of the images come from the robosub_transdec_dataset (https://github.com/beaverauv/robosub_transdec_dataset), and others were added from other sources or generated using simulated environments in Unreal Engine.

Cite this Project

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

@misc{ auv-training_dataset,
    title = { AUV Training Dataset },
    type = { Open Source Dataset },
    author = { AUV Training Datasets },
    howpublished = { \url{ https://universe.roboflow.com/auv-training-datasets/auv-training } },
    url = { https://universe.roboflow.com/auv-training-datasets/auv-training },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jun },
    note = { visited on 2023-12-09 },
}

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Last Updated

a year ago

Project Type

Object Detection

Subject

Objects

Classes

bin, buoy_green, buoy_red, buoy_yellow, channel, docking_bay, object_dropoff, object_pickup, qual_gate, torpedo_cover, torpedo_hole

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License

CC BY 4.0