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