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What is Dog Breed Classification Using CNN about?

This study presents a dog breed classification system for sporting group breeds using convolutional neural networks (CNN), specifically comparing ResNet 50 and ResNet 101 architectures. The research utilizes the Tsinghua Dogs dataset, focusing on five retriever breeds, and demonstrates that ResNet 101 achieves a higher average macro F1-score of 86% compared to 84% for ResNet 50. The findings indicate that the ResNet 101 model not only maintains high accuracy but also exhibits better performance in validatio

Author

shohanurrahman999999

Language

EN