Small Data

Small Data Image Classification is a crucial task in the field of computer vision, focusing on utilizing a limited number of labeled training samples for image classification. This task aims to improve the model's generalization ability and classification accuracy under small sample conditions through efficient learning algorithms and data augmentation techniques, and it has significant application value, especially in scenarios where the cost of data acquisition is high or strict privacy protection is required.