Aquarium Combined Computer Vision Project
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Dataset Details
This dataset consists of 638 images collected by Roboflow from two aquariums in the United States: The Henry Doorly Zoo in Omaha (October 16, 2020) and the National Aquarium in Baltimore (November 14, 2020). The images were labeled for object detection by the Roboflow team (with some help from SageMaker Ground Truth). Images and annotations are released under a Creative Commons By-Attribution license. You are free to use them for any purposes personal, commercial, or academic provided you give acknowledgement of their source.
Projects Using this Dataset:
No-Code Object Detection Tutorial
Class Breakdown
The following classes are labeled: fish, jellyfish, penguins, sharks, puffins, stingrays, and starfish. Most images contain multiple bounding boxes.
Usage
The dataset is provided in many popular formats for easily training machine learning models. We have trained a model with CreateML (see gif above).
This dataset could be used for coral reef conservation, environmental health monitoring, swimmer safety, pet analytics, automated feeding, and much more. We're excited to see what you build!
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
aquarium-kj4rn_dataset,
title = { Aquarium Combined Dataset },
type = { Open Source Dataset },
author = { Roboflow },
howpublished = { \url{ https://universe.roboflow.com/fishdetect-nnmok/aquarium-kj4rn } },
url = { https://universe.roboflow.com/fishdetect-nnmok/aquarium-kj4rn },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-27 },
}