Deep Learning-Based Image Extraction
Keywords:deep learning, content-based image retrieval, convolution neural network, VGG-16, principal component analysis
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.
How to Cite
Copyright (c) 2022 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.