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AntoineCHABERT-0264 asked romungi-MSFT answered

Custom vision - Impact on model when training for different hours

Hi all,

I was not able to find any sort of information about difference in algorithms/layers of DNN when we train the model for different hours. For example: What is the approach if I train model for 2 hours, 10 hours or 24 hours.
In fact, what does it changes for the model if you train it for 1 hour or 24 hours?
Is there any guideline that says (for example): If you have 50 images per label (for a binary classification) you should train your model for at least 2h? And so on.


Thanks a lot for your help.
Antoine CHABERT.

azure-cognitive-servicesazure-custom-vision
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romungi-MSFT answered

@AntoineCHABERT-0264 Based on my experience with the service some of the details regarding like algorithms, training cycles, iterations used in the backend of the service are not made public so there is no documentation on the internals of the service.

With respect to training time the guidance on allocation of time is based on quality of images and dataset. Based on training budget the settings are decided for training that is a best fit. There is no specific relationship between the number of training images and training hours.

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