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**Aim : **The goal of this project is to develop a machine learning model that accurately classifies dog breeds based on their images. Given a dataset of labeled dog images, the task is to predict the correct breed for each image.
Brief Explanation :
The primary objective of this project is to accurately classify dog breeds from images using advanced deep learning techniques. By leveraging state-of-the-art convolutional neural network (CNN) architectures, including ResNet50V2, MobileNet, and VGG19, I aim to develop a model capable of predicting the correct breed label for each input image.
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The primary objective of this project is to accurately classify dog breeds from images using advanced deep learning techniques. By leveraging state-of-the-art convolutional neural network (CNN) architectures, including ResNet50V2, MobileNet, and VGG19, I aim to develop a model capable of predicting the correct breed label for each input image.
Dataset: https://www.kaggle.com/datasets/gpiosenka/70-dog-breedsimage-data-set
Full name : Vivek Prakash
Program: GSSOC-extd and hacktoberfest
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