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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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Hi @robert_osmosis
I see that someone had responded to your response on the forums here. Please let me know if you still need help!
Best Regards,
Sahira

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