Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning

Using machine learning (ML) to automate camera trap (CT) image processing is advantageous for time-sensitive applications. However, little is currently known about the factors influencing such processing. Here, we evaluate the influence of occlusion, distance, vegetation type, size class, height, su...

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Detalles Bibliográficos
Autores principales: Westworth, Sally O. A., Chalmers, Carl, Fergus, Paul, Longmore, Steven N., Piel, Alex K., Wich, Serge A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319727/
https://www.ncbi.nlm.nih.gov/pubmed/35891075
http://dx.doi.org/10.3390/s22145386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319727/
https://www.ncbi.nlm.nih.gov/pubmed/35891075
http://dx.doi.org/10.3390/s22145386

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