.
Both
and
are commonly used in computer vision projects. Below, we compare and contrast
and
One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.
How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion MatrixThis architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
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