The ground truth contains the annotation of the face bounding box and the facial key points (eyes, nose and mouth). A set of labels assigning each image into 3 possible gaze direction classes are given. The first class is the “looking-right” class and contains the head angles between -45º and -30º. The second one is the “frontal” class and contains the head angles between -15º and 15º. The last one is the “looking-left” class and contains the head angles between 30º and 45º. Files and scripts • DrivImages.zip has the driver images. The imag's name has the format: * YearMonthDay_subject_Driv_imNum_HeadPose.jpg i.e. 20130529_01_Driv_011_f .jpg is a frame of the fisrts driver corresponding to the 11 sequence's image and the head pose is frontal. subject = [1:4], imNum = [001:...], HeadPose = lr (looking-right), f (frontal) and lf (looking-left). • drivPoints.txt contains the ground truth in table's format, where the columns have the follow information: * fileName is the imagen's name into DrivImages.zip * subject = [1:4] * imgNum = int * label = [1/2/3] (head pose class that corresponding to [lr/f/lf], respectively) * ang = [-45, -30/ -15 0 15/ 30 15] (head pose angle) * [xF yF wF hF] = face position * [xRE yRE] = rigth eye position * [xLE yL] = left eye position * [xN yN] = Nose position * [xRM yRM] = rigth corner of mouth * [xLM yLM] = left corner of mouth • read_drivPoints.m is a Matlab function to read the drivPoints file. You can also use: * Table = readtable('drivPoints.txt'); • drivFace.mat contains the dataset in Matlab (under prtools library) with the driver faces normalised to 80x80 pixels each and their associated gaze direction labels “looking-right”, “frontal” and “looking-left”.