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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
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 |
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