The accuracy of species identification depends on the species, and also whether the image is colour (daytime) or black and white (night), says Al. “For example, the AI will detect wallabies around 98 percent of the time, but has much lower accuracy for mice. This is mainly because mice are so small that they often appear as little more than a dot in the images. Accuracy is generally higher with colour images than with black and white ones.”
Some species are grouped together because the images captured by camera traps don’t always show distinguishing features. Rats and mice are particularly difficult to separate. The online tool allows users to produce maps, graphs, and other reports of their results. Further improvements to CamTrapNZ are planned, including improved accuracy of species identification, more species, and new software that runs on the user’s own computer, without the need to upload images to a server.