Aquarium Object Detection Dataset - raw-1024
- public.roboflow.com
zipUpdated Sep 11, 2023+ more versions
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EmailClick to copy linkLink copiedCiteRoboflow (2023). Aquarium Object Detection Dataset - raw-1024 [Dataset]. https://public.roboflow.com/object-detection/aquarium/2zipAvailable download formatsDataset updatedSep 11, 2023Dataset authored and provided byRoboflowLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyVariables measuredBounding Boxes of creaturesDescriptionhttps://i.imgur.com/s4PgS4X.gif" alt="CreateML Output">
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 TutorialClass Breakdown
The following classes are labeled: fish, jellyfish, penguins, sharks, puffins, stingrays, and starfish. Most images contain multiple bounding boxes.
https://i.imgur.com/lFzeXsT.png" alt="Class Balance">
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!
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FacebookTwitterEmailAquarium Object Detection Dataset - raw-1024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
https://i.imgur.com/s4PgS4X.gif" alt="CreateML Output">
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.
https://i.imgur.com/lFzeXsT.png" alt="Class Balance">
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!