The method of face detection in pictures is complicated because of variability present across human faces such as pose, expression, position and orientation, skin colour, the presence of glasses or facial hair, differences in camera gain, lighting conditions, and image resolution.
Object detection is one of the computer technologies, which connected to the image processing and computer vision and it interacts with detecting instances of an object such as human faces, building, tree, car, etc. The primary aim of face detection algorithms is to determine whether there is any face in an image or not.
People detection and head counting is one of the classical albeit challenging computer vision application. For this problem, given a group selfie/photo, you are required to count the number of heads present in the picture. You are provided with a training set of images with coordinates of bounding box and head count for each image and need to predict the headcount for each image in the test set.
Dataset:
Dataset can be downloaded from the below link:
https://datahack.analyticsvidhya.com/contest/vista-codefest-computer-vision-1/#ProblemStatement