An In-Depth Look at the Images for Finding Information using Deep learning and Reverse Image Search

Abstract

An In-Depth look at images for finding information using deep learning and reverse image search explains that current technology necessitates a modern approach for extracting information from images. Generating a caption from an image may require computer vision and natural language processing concepts for generating the caption in a natural language like English etc. This paper attempts to show how more information can be generated from an image for further analysis of making some predictions. This project is able to detect the person's identity if a person's face is visible in the image as well as all about the image as to where it has taken resolution, and all other factors. The entire project will describe as much information as possible and utilize it for further analysis. For example, given a white lion image then the image may tell the output as “The white lion is a rare color mutation of the lion, specifically the Southern African lion.” or if an image contains a person as an anonymous then the output will be like “Name, Address and lot more”. It can give you complete information about an image, apart from the basic information and the EXIF data, it also shows other useful and in-depth data. There are some reasons that why you need to get information from a photo if a photo you saw that selling a product at a cheap price then we definitely may be interested to buy but wait that may be a scam or what if someone send you the friend request that is the real or fake person that also we have to be aware and what if you are going to meet with a wrong people if he used a fake photo last time with you and you are going to meet with the wrong guy.