README.md

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title: README
emoji: 💻
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colorTo: blue
sdk: gradio
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sdk_version: 4.44.0

Our project aims to develop an image classification system capable of distinguishing between paintings created by humans and those generated by artificial intelligence. By leveraging a combination of classification techniques and machine learning, we aim to create a model that can accurately classify different types of images and detect the critical differences between works of art. For this project, we utilized several models, including CNN, ELA, RESNET50, and VIT. After building and running these models and evaluating their prediction results, the VIT model achieved the highest score. Therefore, we selected it to effectively classify and differentiate the images.