Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

Motion‐activated wildlife cameras (or “camera traps”) are frequently used to remotely and noninvasively observe animals. The vast number of images collected from camera trap projects has prompted some biologists to employ machine learning algorithms to automatically recognize species in these images...

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Detalles Bibliográficos
Autores principales: Tabak, Michael A., Norouzzadeh, Mohammad S., Wolfson, David W., Newton, Erica J., Boughton, Raoul K., Ivan, Jacob S., Odell, Eric A., Newkirk, Eric S., Conrey, Reesa Y., Stenglein, Jennifer, Iannarilli, Fabiola, Erb, John, Brook, Ryan K., Davis, Amy J., Lewis, Jesse, Walsh, Daniel P., Beasley, James C., VerCauteren, Kurt C., Clune, Jeff, Miller, Ryan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548173/
https://www.ncbi.nlm.nih.gov/pubmed/33072266
http://dx.doi.org/10.1002/ece3.6692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548173/
https://www.ncbi.nlm.nih.gov/pubmed/33072266
http://dx.doi.org/10.1002/ece3.6692

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