Deep Learning-Based Image Extraction

Abstract

The development of the web and advancements in computation and multimedia technologies have led to an increase in the variety of photo databases and the collection of hundreds of images that include medical images, e-libraries, and art galleries. The necessary images from that kind of big collection may demand a lengthy period to retrieve using traditional image extraction techniques like Textual Based Images Retrieval. It is essential to develop an effective image extraction procedure that can handle such vast amounts of data at once. The main objective is to develop a trustworthy tool that effectively generates, uses, and responds to data. It employs a strategy for creating an  effective picture retrieval application that enables individuals to ask questions about the software and extract it from a huge database.

Received: 13 July 2022 | Revised: 9 August 2022 | Accepted: 30 August 2022

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data available on request from the corresponding author upon reasonable request.