PyTorch Tutorial: Using ImageFolder with Code Examples
In this tutorial, we'll explore how to use PyTorch's ImageFolder dataset to load and preprocess image data efficiently. The ImageFolder dataset is a handy utility for handling image datasets organized in a specific folder structure. Table of Contents Introduction to ImageFolder Prerequisites Setting up the Dataset Data Augmentation (Optional) DataLoader Model and Training (Brief Overview) Let's get started! 1. Introduction to ImageFolder ImageFolder is a PyTorch dataset class designed to work with image data organized in folders. Each folder corresponds to a specific class, and images within those folders belong to that class. This structure makes it easy to load data for tasks like image classification. 2. Prerequisites Before we start, make sure you have the following installed: Python (>= 3.6) PyTorch (>= 1.8.0) torchvision (>= 0.9.0) You can install PyTorch and torchvision using pip: pip install torch torchvision 3. Setting up the Da...