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....?

Respuestas (1)

[imds60, imds10, imds30] = splitEachLabel(imds,0.6,0.1)

2 comentarios

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.

Iniciar sesión para comentar.

Categorías

Más información sobre Deep Learning Toolbox en Centro de ayuda y File Exchange.

Preguntada:

el 5 de Feb. de 2021

Comentada:

el 5 de Feb. de 2021

Community Treasure Hunt

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

Start Hunting!

Translated by