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robert_osmosis
Beginner
388 Views

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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3 Replies
Ansif_M_Intel
Employee
54 Views

Hi,

 

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.

Aswathy_C_Intel
Employee
54 Views

Hi, Could you please confirm if the issue is resolved. Please be informed that the thread will get closed within 2 business days assuming that the solution provided was helpful.
Aswathy_C_Intel
Employee
54 Views

We are closing this thread. Please raise a new one if you face any further issues. After the case closure, you will receive a survey email. We appreciate if you could complete the survey regarding the support you received.