Automatic image selection from images with similar contents

With the increased use of smart devices, digital cameras and abundance of memory in the devices, the pictures of the same scenes have been taken several times, resulting in a number of images consisting of the same or very similar content in memory. Manually selecting the good ones is time-consuming as well as error prone. In this paper, the features of the images in the data sets were extracted and machine learning algorithms were applied to successfully classify the images as "good" or "bad" with %97.6 precision and %89.3 recall score.