Hii everyone , I am studying the SSD FOMO YOLO algorithms. Why do I get lower results in YOLO and SSD compared to FOMO even though they have the highest resources?
Can you share some more detail on your data set and target device?
If you are using this for part of a paper please reference Edge Impulse’s paper:
Best
Eoin
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Thank you for your interest. The data used are live images to detect three-wheeled vehicles. The device used is an Arduino Nano 33 as well as a PortentaH7. In both cases, the results of the SSD Yolo were poor compared to the FOMO. @Eoin
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