For Object Detection via the Tensorflow API using the model_main.py, when I use i.e. random_horizontal_flip in the data_augmentation_options in the train_config of my pipeline.config, are my bounding boxes also affected? This is very important, as otherwise these options are not applicable. This is the same question, but it was not properly answered.
Yes, the bounding boxes are affected in the same way.
Specifically for random_horizontal_flip, you can verify it by looking at the function, which also receives boxes.
Flipping the bounding boxes is performed here.
Note not all augmentation options need bounding box altering, but those who do - alter the bounding box accordingly.