DeepFaune New England (DFNE) is a model for species classification in trail camera imagery. This model is a re-trained version of the DeepFaune model for classifying European species in trial cameras,
The ZooMixID dataset contains 839 cropped images featuring 175 individual animals of five distinct taxonomic groups: camels, penguins, goats, tortoises and toads. Each image is...
Box plots summarizing the effect of number of training slides (top) and number of training images per training slide (bottom) on species classification accuracy from the second experiment. Median valu
