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This project is a machine vision system designed to identify dog breeds from images using deep learning techniques. By leveraging a fine-tuned MobileNetV2 model, it accurately classifies over 120 dog breeds, trained on a comprehensive dataset sourced from Kaggle. The project is structured for easy replication and further development.