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

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Keke Zhang 2019-6-25

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https://ww2.mathworks.cn/matlabcentral/answers/468718-how-to-assess-overfitting-in-training-faster-r-cnn-by-the-trainfasterrcnnobjectdetector-function

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?

在 Help Center 和 File Exchange 中查找有关 Object Detection 的更多信息

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

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

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