Dog Breed Classification using Deep Learning | Python Final Year Project 2023

Dog Breed Classification using Deep Learning | Python Final Year Project | Python Machine Learning Project 2023.
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?Email: [email protected],
?Website: https://www.jpinfotech.org

?Project Title: Dog Breed Classification using Deep Learning.
?Implementation Code: Python.
?Algorithm / Model Used: Xception Architecture.
?Web Framework: Flask.
?️Frontend: HTML, CSS, JavaScript.
?Cost (In Indian Rupees): Rs.5000/.

Project Abstract:
The current research involves determining the breed of a dog in a given image, which is a fine-grained image recognition challenge including multi-class categorization. The proposed system makes use of cutting-edge deep learning techniques. This proposed approach is for the identification of dog breeds. Under a deep Convolutional Neural Network, classifying dogs breed is a difficult task. A collection of photographs of a dog's breed is used to classify and learn the breed's characteristics. This paper is about a study that uses Xception architecture to classify different dog breeds. Xception architecture proves to be an effective solution for image classification. For improved classification accuracy, the Xception architecture requires a large number of photos as training data and a significant amount of time to train the data. Given the large number of breeds in this fine-grained categorization challenge, we prove our results to be a success. Given the considerable diversity both between and within the 133 different breeds in the dataset, we are able to effectively predict the proper breed over time in one guess, a result that few humans could equal. The dataset was obtained through Kaggle. Our system achieved 91.34 percent training accuracy and 89.45 percent validation accuracy.

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