Underwater Object Detection Computer Vision Project
Orangewood
Updated a month ago
Tags
Classes (7)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
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Aquarium Combined - v2 raw-1024
Creatures are annotated in YOLO v5 PyTorch format.
It includes 638 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.ai on November 18, 2020 at 7:55 PM GMT
A description for this project has not been published yet.
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
underwater-object-detection-kdkf7_dataset,
title = { Underwater Object Detection Dataset },
type = { Open Source Dataset },
author = { Orangewood },
howpublished = { \url{ https://universe.roboflow.com/orangewood-axpn7/underwater-object-detection-kdkf7 } },
url = { https://universe.roboflow.com/orangewood-axpn7/underwater-object-detection-kdkf7 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-19 },
}