MSU_LFID Database

The MSU LemurFaceID (MSU_LFID) database was created to allow interested readers to replicate and extend the Lemur Face Face Recognition paper by D. Crouse, R. Jacobs, S. Klum, Z. Richardson, A. K. Jain, A. Baden and S. Tecot "LemurFaceID: A Face Recognition System to facilitate Individual Identification of Lemurs".

The dataset consists of 462 images of 80 red-bellied lemur individuals. Each individual had a name (e.g., Avery) or code (e.g., M9VAL) assigned by researchers when it was first encountered. Four individuals are from the Duke Lemur Center in North Carolina, while the remainder are from Ranomafana National Park in Madagascar. There are varying numbers of images (1-21) per individual. The dataset only includes images that contain a frontal view of the lemur’s face with little to no obstruction or occlusion. Figure 4 contains a histogram of the number of images available per individual. Photos from Ramonafana were captured using a Canon EOS Rebel T3i with 18-55 and 75-300mm lenses. Lemurs were often at heights between 15-30 meters, and photos were taken while standing on the ground. The images from Duke were captured with a Google Nexus 5 or an Olympus E-450 with a 14- 42mm lens. Lemurs were in low trees (0-3 meters), on the ground, or in enclosures, and photos were taken standing on the ground.

The majority of the images taken in Madagascar were captured from September to December 2014, however, some individuals had images captured as early as July 2011, giving a limited longitudinal perspective to our dataset. The Duke images were captured in July 2014. Due to the longer duration of the image collection in Madagascar, there was some difficulty establishing whether certain individuals encountered in 2014 had been encountered previously. In three cases, there are photographs in the dataset labeled as belonging to two separate individuals which might actually be of the same individual. These images were treated as belonging to separate individuals when partitioning the dataset for experiments, but if images that might belong to a single individual were matched together, it was counted as a successful match.

In addition to the database of red-bellied individuals, a database containing lemurs of other species was assembled. In addition to 52 images of 31 individuals from Duke Lemur Center, 138 images of lemurs were downloaded based on an online image search. These images were used to expand the size of the gallery for lemur identification experiments.