dividing groundtruth into training, testing and validation

Hi, I have 800 images and labels in data set and I wanted to divide it into test, train and validation set.
I am using following code:
load gTruth % load gTruth file of training data
[imds,pxds] = pixelLabelTrainingData(gTruth);
imdsTrain=imds(81:720);
pxdsTrain=pxds(81:720);
imdsTest=imds(1:80);
pxdsTest=pxds(1:80);
imdsVal=imds(721:800);
pxdsVal=pxds(721:800);
its not working, any possible solution....?

답변 (1개)

yanqi liu
yanqi liu 2021년 2월 5일
[imds60, imds10, imds30] = splitEachLabel(imds,0.6,0.1)

댓글 수: 2

While using this command, I am getting following error:
Error using matlab.io.datastore.ImageDatastore/splitEachLabel (line 211)
splitEachLabel requires non-empty Labels property.
can you upload the demo data, and we can make some test case.

댓글을 달려면 로그인하십시오.

카테고리

도움말 센터File Exchange에서 Deep Learning Toolbox에 대해 자세히 알아보기

질문:

2021년 2월 5일

댓글:

2021년 2월 5일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by