Gun and cash images

The dataset contains two datasets, which record 200/600 images. 'GunCash80X80NO200.mat' contains one type of gun and cash '3gun80X80No600.mat' contains three types of gun and cash The data format is matlab mat file, which can be loaded and displayed through the m file "load_GunCash_plot.m". All the images are recorded as 80x80 images, but each image is recorded as a 6400x1 vector. After load the file into matlab, you will find the file "alldata", which is 6402xN and the sample number N equals 200 or 600. Note that the last two rows of "alldata" are the labels of the images. The 6401 row is the label(1/-1) to indicate the existence of a gun, The 6402 row is the label(1/-1) to indicate the existence of a cash note. We use a webcam to record images, which may depict a gun and/or cash (dollar notes). The presence or absence of a gun is the public hypothesis, and the presence or absence of cash is the private hypothesis. The gun and the cash are randomly translated and rotated in each 80x80 grayscale image. The target is to detect the public hypothesis and make the private hypothesis cannot be detected.