This is a FastAPI project using a fine-tuned EfficientNet V2s to identify dog breeds from images. Built in LeWagon Data Science and AI bootcamp.
GitHub repo contains a Jupyter Notebook to train the model, including the Kaggle dataset used for the fine-tuning.
See https://github.com/pessi-v/canine-classifier-app for the frontend part.