Dog breed identification is one of the challenging task in animal husbandry. Knowing what a dog was bred for can assist you in predicting and comprehending its behavior. Most breeds were created with a specific goal in mind: to have the desire to achieve something specific. Dogs retain part of that drive as pets in our homes, and without a good outlet for that energy, it might manifest in undesirable ways. Developing a deep learning model, that can identify the breed of the dog with high accuracy, using this model one can easily identify the dog breed which makes easier for them to train the dog, so that we cant wait for the experts and no need for spending money for identifying the dog breed, using the mobile phones we can easily identify our dog breed simply using its image. This paper deals with an advanced classification model was designed which identifies the breed of the dog. A training dataset consisting of more than 10000 images is used, CNN is used for the classification and the accuracy is achieved using Resnet50 architecture which is highest when compared to other models.