Album Creator with Machine Learning

Abstract

Generally after copying the images from the camera or some other device sometimes we need to separate those photos accordingly so that we can share our friends their pics. So This  Album Creator with Machine Learning System Project classifier helps us in separating those pics using KNN classifier. We can keep all the pics in one folder and by using this classifier we can separate and save the pics of different persons in different folders.

This album creator with machine learning paper presents a method for generating album cover art by including side information regarding the image content.State-of-the-art approaches in image generation include those based on Gen-erative Adversarial Networks (GANs). The Album Creator with Machine Learning System Project framework is based on two complementary networks, namely a discriminative (D) network which tries to classify data into sets and a generative (G) network which is used to create new data from a prior distribution.The One Million Audio Cover Images for Research (OMACIR) is a dataset constructed from a variety of sources containing over one million album cover arts3.These images are a mixture of greyscale and RGB images, all of different sizes.There are also a large number of repeated images throughout the dataset which would strongly affect any image generation algorithm.