Disable augmentation in training pipeline

Prerequisites

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1. The entire URL of the documentation with the issue

https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html

2. Describe the issue

Hey there!

Not sure if this is a bug because nobody seems to have an issue with this so I guess I just can´t find the right settings.
I followed the linked tutorial to train the SSD ResNet50 V1 FPN 640x640 model with my own dataset (only 1 object).
After monitoring the training with tensorboard I saw that the images used for training are very distorted.
I deleted all the lines responsible for the augmentation but the training images remain distorted.

Images during training look like this

The images in my dataset look like this

I already asked on stackoverflow but there aren´t many views ans no answers :b
https://stackoverflow.com/questions/63523996/disable-augmentation-in-tensorflow-training-pipeline

So I was wondering how to fix this since I can´t figure out whats going on here.
I already trained a darknet yolo model with this dataset and the results are very good.
But here the map is close to zero and i figured thats because of the distortion in my training images.
If I use some training images for the map calculation the images are displayed correctly with tensorboard.

This issue seems to be related.