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How to assess overfitting in training faster r-cnn by the "trainFast​erRCNNObje​ctDetector​" function, which can not set validation data.

2 vues (au cours des 30 derniers jours)
Hi,
I want to use the "trainFasterRCNNObjectDetector" function to train a object detector, but in the options of the "trainFasterRCNNObjectDetector" note:
trainFasterRCNNObjectDetector does not support these training options:
  • The Plots value: 'training-progress'
  • The ValidationData, ValidationFrequency, or ValidationPatience options
  • The OutputFcn option.
Thus, how to assess when our network is overfitting without using the validation set?

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