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?
A small decrease in accuracy is expected, however if you are getting a marginal decrease in accuracy kindly revert back to us and share your workload. so that we can replicate the scenario at our end.