What Kind of Pre-processing is required for images for transfer learning and training AlexNet?
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Vinay Chawla
el 1 de Oct. de 2020
Comentada: Vinay Chawla
el 15 de Dic. de 2020
Hello,
I am working on a CNN model for classifying pavement distresses and I am using transferred learning through alexnet. I was wondering if my images require any kind of pre-processing such as (semantic segmentation) other than resizing them. I am using high-resolution colored images of pavement distresses.
Thanks in advance.
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Raunak Gupta
el 5 de Oct. de 2020
Hi,
There are several preprocessing techniques which can be used for preparing data to pass to a network for transfer learning applications. Though I cannot suggest a specific step for your case, you can refer to the following documentations which explain more about these techniques.
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Raunak Gupta
el 15 de Dic. de 2020
Hi,
The pre-processing is usually done in cases where the training results on unprocessed data are not good. In those scenario pre-processing can make images more suitable for training. If you are getting good results without using any pre-processing techniques its not necessary to apply any of them.
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