REAL VS AI GENERATED IMAGE DETECTION AND CLASSIFICATION

K.Balakrishna Maruthiram; Dr.G.Venkata Rami Reddy; M.Klick

REAL VS AI GENERATED IMAGE DETECTION AND CLASSIFICATION

Authors: K.Balakrishna Maruthiram, Dr.G.Venkata Rami Reddy, M.Klick

Unique Paper ID: 166462
Volume: 11
Issue: 2
PageNo: 1076-1080

Keywords: No Keywords Found

Abstract:
Recent advancements in synthetic data technology have made it possible to generate images of such exceptional quality that distinguishing between photographs taken in real life and those created by Artificial Intelligence has become nearly impossible for humans. Key features of system include single image processing, support for .jpg and .png file formats, and the provision of future scope for batch processing and download options. The classifier shows resilience and reliability in real-world scenarios through stringent testing and quality assurance procedures, such as unit testing, integration testing, and performance evaluation. Artificial intelligence can now create images of humans and other objects more easily because to the rapid advancement of deep learning technologies. One of the most important tasks in picture analysis and authentication is identifying manipulated or fraudulent images produced by artificial intelligence. It is critical to develop an accurate approach to identify these fake photographs. The goal of this project is to categorize photos into two groups: Artificial Intelligence-generated or real images using a Convolutional Neural Network (CNN).

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 2
PageNo: 1076-1080

REAL VS AI GENERATED IMAGE DETECTION AND CLASSIFICATION

Available:https://ijirt.org/Article?manuscript=166462

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Impact Factor
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UGC Approved
Journal no 47859

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