Dog Breeds Classifier

This paper introduces a novel approach to dog breed detection using deep learning, focusing on the InceptionV5 architecture. It addresses the need for accurate breed identification crucial in pet care, veterinary diagnostics, and animal welfare studies. By training a fine-tuned InceptionV5 model on a Kaggle dataset pre-processed via Google Colab, the system achieves classification based on standard metrics like accuracy and F1-score. Integration into a Flask web app enables real-time breed detection from uploaded images, enhancing accessibility. The study highlights the efficacy of deep learning, particularly InceptionV5, in automating breed identification tasks, offering practical solutions across various applications. Moreover, it discusses potential implications for pet care, veterinary diagnostics, and animal welfare enhancement. Top of Form