2 datasets found
  1. R

    Aquarium Dataset

    • universe.roboflow.com
    zip
    Updated Sep 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Brad Dwyer (2023). Aquarium Dataset [Dataset]. https://universe.roboflow.com/brad-dwyer/aquarium-combined/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 11, 2023
    Dataset authored and provided by
    Brad Dwyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Creatures Bounding Boxes
    Description

    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 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!

  2. Aquarium Object Detection Dataset - raw-1024

    • public.roboflow.com
    zip
    Updated Sep 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Roboflow (2023). Aquarium Object Detection Dataset - raw-1024 [Dataset]. https://public.roboflow.com/object-detection/aquarium/2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 11, 2023
    Dataset authored and provided by
    Roboflow
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Bounding Boxes of creatures
    Description

    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 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!

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Brad Dwyer (2023). Aquarium Dataset [Dataset]. https://universe.roboflow.com/brad-dwyer/aquarium-combined/model/1

Aquarium Dataset

aquarium-dataset

aquarium-combined

Explore at:
zipAvailable download formats
Dataset updated
Sep 11, 2023
Dataset authored and provided by
Brad Dwyer
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
Creatures Bounding Boxes
Description

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 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!

Search
Clear search
Close search
Google apps
Main menu