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Developed a U-Net model in Python with TensorFlow for semantic segmentation on the Oxford-IIIT Pet dataset, using PCA and MinMaxScaler preprocessing. Performance is evaluated with accuracy, Mean IoU, and visualized via confusion matrices. (Tehnici de Invatare Automata)

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