README.md
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README.md
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---
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language:
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- en
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---
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# 🛢️ Datasets
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QShield experiments are evaluated on widely used benchmark datasets for both general-purpose and medical imaging tasks:
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- **📝 MNIST** – Handwritten digit classification dataset containing 70,000 grayscale images (28×28) across 10 classes (digits 0–9).
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- **🖼️ CIFAR-10** – Natural image dataset with 60,000 color images (32×32) across 10 object classes (airplane, car, cat, dog, etc.).
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- **🫀 OrganAMNIST** – Medical imaging benchmark derived from abdominal CT scans, containing 11 organ classes for classification.
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