SohamBera16 / Image-Classification-using-Deep-Learning-for-a-city-dog-show

creating multiple deep learning based image classifiers to identify dog breeds and comparing their performances to select the best model.

Image-Classification-using-Deep-Learning-for-a-city-dog-show

creating multiple deep learning based image classifiers to identify dog breeds and comparing their performances to select the best model. The two goals of the model are to:

1. detect whether the given image by the contestant is of a dog or not (binary classification problem)

2. If the provided image is of a dog, automatically detecting the breed of the dog for faster and more accurate record keeping.

Deep learning model architectures Tested: AlexNet, VGG16, and Resnet18.

Best performing model: AlexNet