Thesistest1

whalesharkstest2

Object Detection

whalesharkstest2 Computer Vision Project

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The data have been used for educational purposes.

The data have been retrived from:https://lila.science/datasets/whale-shark-id

Citation, license, and contact information

For research or press contact, please direct all correspondence to Wild Me at info@wildme.org. Wild Me is a registered 501(c)(3) not-for-profit based in Portland, Oregon, USA and brings state-of-the-art computer vision tools to ecology researchers working around the globe on wildlife conservation.

This dataset is released under the Community Data License Agreement (permissive variant) (https://cdla.dev/permissive-1-0/).

If you use this dataset in published work, please cite as:

Holmberg J, Norman B, Arzoumanian Z. Estimating population size, structure, and residency time for whale sharks Rhincodon typus through collaborative photo-identification. Endangered Species Research. 2009 Apr 8;7(1):39-53.

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Source

Thesistest1

Last Updated

2 years ago

Project Type

Object Detection

Subject

whalesSharks

Views: 19

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

MIT

Classes

rhincodon_typus