Published October 4, 2018 | Version v0.1
Software Open

mikeyEcology/MLWIC: MLWIC

Creators

  • 1. Center for Epidemiology and Animal Health; United States Department of Agriculture
  • 2. Computer Science Department; University of Wyoming
  • 3. National Wildlife Research Center; United States Department of Agriculture
  • 4. College of Integrative Sciences and Arts; Arizona State University
  • 5. Tejon Ranch Conservancy
  • 6. Savannah River Ecology Laboratory; Warnell School of Forestry and Natural Resources, University of Georgi
  • 7. Range Cattle Research and Education Center; Wildlife Ecology and Conservation; University of Florida
  • 8. Colorado Parks and Wildlife
  • 9. Department of Animal and Poultry Science; University of Saskatchewan
  • 10. Wildlife Biology Program, Department of Ecosystem and Conservation Sciences; W.A. Franke College of Forestry and Conservation; University of Montana
  • 11. Department of Botany; University of Wyoming

Description

Machine Learning for Wildlife Image Classification (MLWIC) is an R package that allows users to automatically classify animal species in camera trap images. The package comes with a build in model that was trained to recognize 27 species using over 3.7 million images. It works rapidly (> 2,000 images/minute on a laptop computer) and accurately (98% accuracy across all species). The package also allows users to train their own machine learning model to recognize species using images tht they have classified.

Files

mikeyEcology/MLWIC-v0.1.zip

Files (39.3 kB)

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md5:59a2d9502d938e063069e427a57974e2
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Additional details

Related works

Is supplement to
https://github.com/mikeyEcology/MLWIC/tree/v0.1 (URL)