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Movidius NCS2 low inference accuracy problem?

I have a dataset that I am training with Tensorflow's object detection model (SSD Mobilenet v1) and I am experiencing significant accuracy loss when converting for the movidius stick using the model_optimizer included with the OpenVINO SDK

The same dataset performs well when trained with the tiny yolov3 model in keras but with the NCS2 the boxes are giving out a lot of false positives and the boxes around the objects are too big.

Has anyone experienced something similar?

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