Stanford Dogs
Image Classification

• Data Source:  Stanford AI Lab
• Date:  April 2024

AI Dog Classifier

This project focuses on classifying dog breeds using deep learning. The model is built using ResNet50, a pre-trained architecture fine-tuned on the Stanford Dogs dataset. The model achieved a training accuracy of 86.23% and a validation accuracy of 88.65%. This project can be used for applications such as pet identification, wildlife research, and mobile apps for breed recognition.