Identifying individual jaguars from camera-trap images using the HotSpotter program

Abstract

We identified individual jaguars from a database of camera-trap images collected in the Eastern Amazonian rainforest using the artificial intelligence software HotSpotter. We identified individuals from 131 of 217 images. Twenty-five different individuals were identified based on images of the left side. We compared our results with the results from an undergraduate study that manually identified 18 jaguar individuals from 53 images also used in the present study. One of the 18 individuals was found to be misclassified based on HotSpotter. We found HotSpotter to be useful in identifying individual jaguars in our study area.