Multimodal Data Augmentation in Detectron2

How do data augmentations work in Detectron2? -- Implementing Multimodal Augmentations -- Usecase 1: Instance Color Jitter Augmentation -- Usecase 2: Copy Paste Augmentation Detectron2 is one of the most powerful deep learning toolboxes for visual recognition tasks. It allows easily switch between recognition tasks such as object detection and panoptic segmentation. Also, it has many built-in modules like dataloaders for popular datasets, extensive network models, visualization, data augmentation, etc. If you are not familiar with Detectron2, you can check my Detectron2 Starter Guide for Researchers article. I gave an overview of Detectron2 API and I mentioned about some missing features that are not provided out of the box.