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Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection
The vast amount of images generated by aerial imagery in the context of regular wildlife surveys nowadays require automatic processing tools. At the top of the mountain of different methods to automatically detect objects in images reigns deep learning’s object detection. The recent focus given to t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124840/ https://www.ncbi.nlm.nih.gov/pubmed/37093866 http://dx.doi.org/10.1371/journal.pone.0284449 |