Need to NormalizeImage if using Tensorflow's ObjectDetection API?
Depending on what configuration you specified it uses an image resizer to normalize your dataset.
image_resizer {
  fixed_shape_resizer {
    height: 300
    width: 300
  }
}
This will either downsample or upsample your images using bilinear interpolation.
I'm not sure if the Tensorflow ObjectDetection API automatically normalizes the input images (my own dataset). It seems to have an option called 'NormalizeImage' in the DataAugmentations. So far, I haven't specified it, and my models are doing reasonably well. Am I missing image normalization, or does Tensorflow do it automatically for me, or is it just not needed for this Object Detection API?
My models have used Faster RCNN and RetinaNet so far.