This repository provides an implementation of copy-paste data augmentation, a technique from a research paper that pastes objects from one image onto another to increase training data diversity. The library integrates with albumentations and works with torchvision datasets, handling images, masks, and bounding boxes. It is designed to be used during the training of instance segmentation and object detection models.