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README.md

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-Edit this `README.md` markdown file to author your organization card.
+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.