SNR-Aware-Low-Light-Enhance icon indicating copy to clipboard operation
SNR-Aware-Low-Light-Enhance copied to clipboard

Published 20 hours ago • verified publisher icon dvlab-research

Train and Test datasets

Open siyv6 opened this issue 2 years ago • 2 comments

Hello author, it is a great honor to see your work. I would like to ask you some questions about the use of the data set, that is, the SMID data set I downloaded contains 202 pictures of SMID_Long_png and 20809 pictures of SMID_LQ_png. How to divide the training set and the test set？and how about SID ?

siyv6 avatar Sep 11 '22 13:09 siyv6

Hello: In the collection of SMID, the low-light images are collected by short exposure with different times, and the corresponding normal-light image is obtained by long exposure. Thus, in the dataset of SMID, one normal-light image can be the ground truth of the corresponding several low-light images. This is why the number of low-light image and normal-light image is different. The similar situation is also applicable to the SID dataset.

xiaogang00 avatar Nov 21 '22 06:11 xiaogang00

Hi, I want to know how to divide the training data and testing data in SMID, SDSD and SID, which means the number of training data and testing data.

wangchx67 avatar Mar 31 '23 03:03 wangchx67