This dataset involves 114 different pedestrians and contains 1,824 images, which are taken from 8 directions using two disjoint cameras. For each person, eight images are captured from eight different directions under one camera view, with a standard size of 128×48 pixels. The dataset is also randomly divided into two parts: 57 people are used for training and 57 people are used for testing.