To build an image classification model for pet food, start by collecting a dataset of labeled images, categorized by type and species (e.g., dog, cat, wet, dry). Preprocess the images by resizing, normalizing, and augmenting them for better model generalization. Use a Convolutional Neural Network (CNN) like Reset or Mobile Net, and fine-tune it with this dataset. Learn More...