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.