How Many Zebras Are In This Photo?

Thanks to the University of Minnesota for sponsoring this video!

New technology has revolutionized how we study wild animals, but it has also bogged down scientists with data…luckily, there’s an *intelligent* solution.

Thanks also to our Patreon patrons and our YouTube members.
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To learn more, start your googling with these keywords:
Deep learning: a subset of machine learning in artificial intelligence that can learning from data that is unstructured or unlabeled
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If you liked this week’s video, you might also like:
Take a look at the Snapshot Serengeti colletion and try your hand at classifying species, counting animals, and determining behaviors:

Learn about the whale shark project and report your sightings:

Explore underwater recordings of humpback whales and make your own discoveries:
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Credits (and Twitter handles):
Script Writer, Editor, Video Director and Narrator: Kate Yoshida (@KateYoshida)
Video Illustrator: Arcadi Garcia (@garirius)
With Contributions From: Henry Reich, Alex Reich, Ever Salazar, Peter Reich, David Goldenberg, Julián Gómez, Sarah Berman
Music by: Nathaniel Schroeder:

Image Credits: All the photos of the savannah by the SnapshotSerengeti Project

Sogod Bay Whale Shark video by Miguel Hilario

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References:

Duporge I, Isupova O, and Reece S (2019, April 4) Using Satellite Imagery and Machine Learning to Detect and Monitor Elephants.

Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C, and Clune J (2018). Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences of the United States of America 115 (25): E5716-E5725.

Packer C, personal communication (2019, September 12).

Swanson AB, Kosmala M, Lintott CJ, Simpson RJ, Smith A, Packer C (2015) Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific Data 2: 150026.

Wildbook for Whale Sharks.