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Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health

Overview of attention for article published in Frontiers in Artificial Intelligence, April 2021
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Title
Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health
Published in
Frontiers in Artificial Intelligence, April 2021
DOI 10.3389/frai.2021.582110
Pubmed ID
Authors

Andrew M. Durso, Gokula Krishnan Moorthy, Sharada P. Mohanty, Isabelle Bolon, Marcel Salathé, Rafael Ruiz de Castañeda

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 12%
Student > Postgraduate 3 9%
Lecturer 2 6%
Student > Ph. D. Student 2 6%
Student > Master 2 6%
Other 2 6%
Unknown 19 56%
Readers by discipline Count As %
Computer Science 5 15%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 19 56%