What is the best tool to augment DOTA like custom dataset?

Question

My dataset is annotated using rotated bounding box annotation tool having (x1y1 x2y2 x3y3 x4y4 class category) is label format (same as DOTA).

My data directory contains:

1. images
2. train (txt labels)
3. val (txt labels)
4. test (txt labels)

I want to augment training folder along with annotations. What is the best tool/library that can help me achieve this?

Answer 1

you can use the imgaug library in Python.it is powerful library for image augmentation, including support for bounding box transformations. documentation:https://imgaug.readthedocs.io/en/latest/