I'm looking to run a Mask RCNN code on my dataset of about 2700 images. The images are too large and I would like to resize them, and I would also like to add some shear, scale and zoom augmentations.
Since this is an object detection task, it requires augmentation of annotated images with bounding boxes. Most of the resources I found dealt with rectangular bounding boxes which seems relatively straightforward.
I'm currently using the VGG annotator and the bounding box values are stores in a JSON file. How do I go about doing this?