Wildlife Monitoring From Camera Traps: A Dataset of Annotated Sequences From Twelve European Sites

Authors

  • Unnur Jokulsdottir Centre for Computer Vision, Snaefellsnes Institute of Applied Artificial Intelligence, Stykkisholmur, Iceland Author
  • Ivan Muscat-Deb Centre for Earth Observation, Birgu Institute of Applied Artificial Intelligence, Birgu, Malta Author
  • Nathalie Goergen Department of Data Science, Sure Valley Centre for Machine Intelligence, Ettelbruck, Luxembourg Author

DOI:

https://doi.org/10.5281/zenodo.22660653

Keywords:

Wildlife Monitoring From Camera Traps; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

Wildlife Monitoring From Camera Traps is an area of active development in applied machine learning, with evidence that has
accumulated unevenly across its component questions. We review the current evidence base for wildlife monitoring from camera
traps, spanning methodological, implementation, governance, and cost dimensions, focusing on where practice has converged and
where it continues to vary, and set out the practical considerations relevant to a team considering its adoption. We conclude that
selective, context-specific use is best supported by the evidence currently available, rather than uniform adoption or avoidance.

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Dumitrescu A, Andric D, et al. "Wildlife Monitoring From Camera Traps: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.4103/jrpp.jrpp_20_65

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Hendriksen W, Wojcik H, et al. "Wildlife Monitoring From Camera Traps: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.3389/fdgth.2026.1699005

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Jankowiak G, Grabowski J, et al. "Wildlife Monitoring From Camera Traps: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.2196/69678

Kowalczyk N, Novotna K, et al. "Wildlife Monitoring From Camera Traps: a benchmark study". Expert Syst Appl 8(2014): 520-530. DOI: 10.7759/cureus.46454

Lindqvist U, Urbanek L, et al. "Wildlife Monitoring From Camera Traps: a systematic evaluation". Inf Sci 10(2017): 531-542. DOI: 10.1016/j.ssci.2025.107028

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Published

2024-03-03

Issue

Vol. 3 No. 1 (2024): vol 3 issue 1 2024

Section

Articles

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