- Developed a CNN-based deep learning model to categorise dog breeds, utilising the Stanford Dogs Dataset for preprocessing, training, and evaluation
- Implemented an optimised CNN architecture, leveraging Xception with 71 layers, registering 83% accuracy rate
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Stanford dogs dataset breed classification with Xception (CNN)
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