50% Confidence for all bounding boxes in image?

I have trained a model using tf1.15, converted it to tflite and compiled it for the edgetpu, which is all working. However, my confidence values for all bounding boxes is 50%. It seems to recognise what is what somewhat well, such as putting many boxes over and around the object it’s trying to detect, but they’re all 50% confidence so it is difficult to get a clean output. I believe the issue was not caused by any conversions, but during training, as tensorboard also shows this.

I have followed [this](https://colab.research.google.com/github/google-coral/tutorials/blob/master/retrain_ssdlite_mobiledet_qat_tf1.ipynb) tutorial for the most part, using mobilenetv2 ssd and my own training data. Initial guess is that my .tfrecord file was made incorrectly, as I did not have .xml files but rather one large .csv.