Both
and
are commonly used in computer vision projects. Below, we compare and contrast
and
.
The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset
How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion MatrixYOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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