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Fig. 9.
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Comparing Training loss with validation loss illustrates how good YOLO is learning on the training set. It is also used to prevent the algorithm from overfitting. Each epoch represents 422 iterations, or when the dataset is passed forwards and backwards through YOLO once.
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