What Kind of Pre-processing is required for images for transfer learning and training AlexNet?
조회 수: 2 (최근 30일)
이전 댓글 표시
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.
댓글 수: 0
채택된 답변
Raunak Gupta
2020년 10월 5일
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.
댓글 수: 4
Raunak Gupta
2020년 12월 15일
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.
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Image Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!