Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
M. A. Tabak, D. Falbel, T. Hamzeh…·R. S. Miller
CameraTrapDetectoR uses deep learning to detect, classify, and count animals in camera trap images, achieving high accuracy across multiple taxonomic levels.
M. A. Tabak, M. S. Norouzzadeh, D. W. Wolfson…·R. S. Miller
This paper develops two deep learning models for camera trap image classification, achieving high accuracy and transferability across locations, and provides an accessible R package for biologists.
M. A. Tabak, M. S. Norouzzadeh, D. W. Wolfson…·R. S. Miller
This paper trains a machine learning model to classify animal species in camera trap images, achieving high accuracy and providing an R package for ecological use.