Year: 2025
Type: article
Abstract: Due to advancements in technology, especially in Artificial Intelligence, it has become increasingly difficult for humans to distinguish between real and AI-generated images. Technologies like Generative Adversarial Networks (GANs) and Latent Diffusion Models (LDMs) can generate images so realistic that humans often cannot identify them as AI-generated. This paper addresses the challenge of identifying AI-generated and real images by presenting a Fine-Tuned ResNet50 model. The model is trained and tested on a dataset of 140K real and fake face images, demonstrating its effectiveness in image classification
DOI: 10.56147/aaiet.1.2.7
Author: Aabid Abdal Mashkoor Ahmad Khan
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410245415