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license: apache-2.0
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Of course. Here is a description for your Hugging Face README file, written in English and formatted with Markdown.
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Real vs. AI-Generated Image Detection Model
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This repository contains a deep learning model trained to classify images as either real or AI-generated (fake). The model was developed as part of a project on Big Data and leverages transfer learning with the powerful ResNet50 architecture. It achieves a test accuracy of 93.34% on the CIFAKE dataset. 🏆
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A live, interactive demo of this model is available on Hugging Face Spaces. [(Link to your Hugging Face Space here)]
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Model Architecture
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The model uses a transfer learning approach, which involves two main components:
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license: apache-2.0
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Real vs. AI-Generated Image Detection Model
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This repository contains a deep learning model trained to classify images as either real or AI-generated (fake). The model was developed as part of a project on Big Data and leverages transfer learning with the powerful ResNet50 architecture. It achieves a test accuracy of 93.34% on the CIFAKE dataset. 🏆
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Model Architecture
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The model uses a transfer learning approach, which involves two main components:
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