https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html 2
I am using PyTorch for object detection and refining an existing model (transfer learning) as described in the following link - TorchVision Object Detection Finetuning Tutorial — PyTorch Tutorials 1.8.0 documentation 2
While different transformations are used for image augmentation (horizontal flip), the tutorial doesn’t mention anything on transforming the bounding box/annotation to ensure they are in line with the transformed image. Am I missing something basic here?