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100+ datasets found
  1. R

    Animals Dataset Dataset

    Updated Aug 4, 2023
  2. P

    AwA Dataset

    Updated Feb 13, 2021
  3. k


    Updated Feb 4, 2024
  4. Movebank: Animal Tracking

    Updated Jan 9, 2017
  5. h


    Updated Aug 4, 2023
    + more versions
  6. P

    ANIM Dataset

    Updated Nov 11, 2021
  7. d

    Beautiful Image - Animals

    csv, zip
    Updated Apr 11, 2024
  8. T

    Japan Imports of Live Animals

    • +15more
    csv, excel, json, xml
    Updated Apr 6, 2024
  9. w

    Data from: Animals illustrated

    Updated Apr 14, 2024
    + more versions
  10. w

    Animals Inventory

    csv, json, xml
    Updated Mar 21, 2017
    + more versions
  11. O

    Current Animals in Shelter

    application/rdfxml +5
    Updated Apr 21, 2024
  12. Number of commercially slaughtered animals in Germany 1993-2023, by type of...

    Updated Feb 7, 2024
  13. OZ Animals

    Updated Dec 20, 2022
  14. Opinions of U.S. citizens on happiness of animals in zoos compared to the...

    Updated Jun 7, 2016
  15. O

    Austin Animal Center Outcomes

    • +4more
    application/rdfxml +5
    Updated Apr 29, 2024
  16. S

    Slovenia Animal Product: Honey

    Updated Feb 6, 2018
  17. f

    Data from: Wild fauna received by the Wild Animal Screening Centre and...

    Updated Jun 4, 2023
  18. Finds of rare species of animals in Ukraine (2022)

    Updated Apr 14, 2024
  19. Live animals: leading importers worldwide 2021, by country

    Updated Feb 22, 2023
  20. Occurrence database of bryophytes and native animals of southern Chile

    Updated Nov 3, 2023
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Telkom University (2023). Animals Dataset Dataset [Dataset].

Animals Dataset Dataset

Explore at:
367 scholarly articles cite this dataset (View in Google Scholar)
zipAvailable download formats
Dataset updated
Aug 4, 2023
Dataset authored and provided by
Telkom University

Attribution 4.0 (CC BY 4.0)
License information was derived automatically

Variables measured
Animal Bounding Boxes

Here are a few use cases for this project:

  1. Wildlife Conservation: Researchers and wildlife conservationists can use this model to automatically identify and count various animal species in wildlife surveillance images or videos, helping in population tracking and habitat studies.

  2. Smart Farming: The model can be integrated within innovative farming technologies to monitor livestock, identifying each animal and aiding farmers in managing their stock more efficiently.

  3. Animal Behavior Study: Researchers can use this tool to analyze animal interactions and behavior patterns in both captivity and the wild by identifying different animal species in video footages.

  4. Automated Hunting Management: The tool can be used to manage hunting activities by identifying the type and quantity of animals in a given area, supporting sustainable hunting practices.

  5. Pet Identification: In residential and urban contexts, the computer vision model could be used in surveillance systems to recognize pet behavior, identify lost pets, or prevent animal-related mishaps by identifying animals in restricted areas.

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