I created the fastai‑bird‑image‑classifier repository to train a binary image classifier that distinguishes birds from forests using fast.ai and transfer learning with a ResNet34 backbone. The project was built as part of Lesson 1 of the Practical Deep Learning for Coders course and runs on a Kaggle T4 GPU. I downloaded the training images automatically from DuckDuckGo and used fast.ai’s DataBlock API for the data pipeline. The notebook is hosted on my GitHub under the username my GitHub profile.
The repository has 1 star on GitHub.
The repo was last updated 2026-06.
Training images were sourced from DuckDuckGo.