This repository contains supplmentary material associated with:

Vélez, J., McShea, W., Shamon, H., Castiblanco-Camacho, P. J., Tabak, M. A., Chalmers, C., Fergus, P. and J. Fieberg. 2023. An evaluation of platforms for processing camera-trap data using artificial intelligence. Methods in Ecology and Evolution, 14, 459– 477. https://doi.org/10.1111/2041-210X.14044

Here, we aim to provide an overview of the steps required to implement machine learning/AI workflows for processing camera trap photos using:

• Wildlife Insights
• MegaDetector
• Machine Learning for Wildlife Image Classification (MLWIC2)
• Conservation AI

The rendered book can be found at: https://ai-camtraps.netlify.app/