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When benchmarked on the coco dataset for object detection, here is how. It is used in areas like autonomous. “imagine you built a yolo application that detects players and soccer balls from a given image.

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Cli you can use ultralytics yolo directly from the command line interface (cli) with the yolo command:

Yolo is very fast at the test time because it uses only a single cnn architecture to predict results and class is defined in such a way that it treats classification as a regression.

Cli commands are available to directly run the models:

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