The dataset includes facial images of 10 animals, including red panda, capuchin monkey, wedge-shaped capuchin monkey, Dewey's macaque, greater white-nosed macaque, green monkey, red monkey, ring-tailed lemur, crab-eating macaque, and Tibetan macaque. In addition, the dataset also includes a grayscale image dataset of golden monkeys for training night image recognition systems.

The dataset can be used to train animal facial recognition systems. It was published by Guo Songtao's team from Northwestern University. The related paper is: Automatic Identification of Individual Primates with Deep Learning Techniques.

Paper address: https://www.cell.com/iscience/fulltext/S2589-0042(20)30602-7#