  We present the Pascal animal classes Eye Tracking database. Our database
comprises eye movement recordings compiled from forty users for the bird, cat,
cow, dog, horse and sheep {trainval} sets from the VOC 2012 image set.
Different from recent eye-tracking databases such as
\cite{kiwon_cvpr13_gaze,PapadopoulosCKF14}, a salient aspect of PET is that it
contains eye movements recorded for both the free-viewing and visual search
task conditions. While some differences in terms of overall gaze behavior and
scanning patterns are observed between the two conditions, a very similar
number of fixations are observed on target objects for both conditions. As a
utility application, we show how feature pooling around fixated locations
enables enhanced (animal) object classification accuracy.
