A Forest Wildlife Detection Algorithm Based on Improved YOLOv5s

SIMPLE SUMMARY: We improved an algorithm for recognizing forest wildlife to increase the detection accuracy of wildlife in complex forest environments, and proposed a series of improvement schemes to address the high detection error and omission rate caused by the low contrast between the background...

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Detalles Bibliográficos
Autores principales: Yang, Wenhan, Liu, Tianyu, Jiang, Ping, Qi, Aolin, Deng, Lexing, Liu, Zelong, He, Yuchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571878/
https://www.ncbi.nlm.nih.gov/pubmed/37835740
http://dx.doi.org/10.3390/ani13193134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571878/
https://www.ncbi.nlm.nih.gov/pubmed/37835740
http://dx.doi.org/10.3390/ani13193134

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