Fruit and Vegetable Classification
End-to-end image classification lab with a produce dataset.
What you'll do
- Build an end-to-end image-classification pipeline from folders of images
- Train and validate a CNN, then measure its accuracy
- Transfer the workflow to a manufacturing image-analysis problem
Dataset: Fruit & Vegetable Images · Image folders organized by class label · Not bundled in the repo (large) — download locally before running
Requirements: see
requirements.txt in the Resources folder.
Install with pip install -r requirements.txt after
creating your virtual environment.
Dataset setup: image folders for this lab are not bundled in
the repository because of size. Download the fruit and vegetable dataset locally
and place it under the lab folder before running cells that load images.