Fine-Grained Image Classification

Fine-grained image classification is a task in computer vision that aims to categorize images into more specific subcategories. This task requires the model to be able to identify and distinguish subtle visual differences and patterns within the same broad category, making it highly challenging. Its application value lies in improving the accuracy and detail of image recognition, suitable for scenarios such as biological species identification and product classification.