| # Aquarium > raw-1024 | |
| https://public.roboflow.ai/object-detection/aquarium | |
| Provided by [Roboflow](https://roboflow.com) | |
| License: CC BY 4.0 | |
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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. | |
| ## Class Breakdown | |
| The following classes are labeled: fish, jellyfish, penguins, sharks, puffins, stingrays, and starfish. Most images contain multiple bounding boxes. | |
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| ## Usage | |
| The dataset is provided in many popular formats for easily training machine learning models. We have [trained a model with CreateML](https://blog.roboflow.com/createml/) (see gif above). | |
| This dataset could be used for coral reef [conservation](https://blog.roboflow.com/how-this-fulbright-scholar-is-using-computer-vision-to/), [environmental health monitoring](https://blog.roboflow.com/using-computer-vision-to-count-fish-populations/), swimmer [safety](https://roboflow.com/industries/safety-and-security), pet analytics, automated feeding, and much more. We're excited to see what you build! | |