What is the correct syntax for using an augmentedImageDatastore as validation data in trainingOptions for the trainNetwork() function?

1 Ansicht (letzte 30 Tage)
I have the following image datastore:
myDataset = imageDatastore('C:\MyData',...
'IncludeSubfolders',true,...
'FileExtensions','.png',...
'LabelSource','foldernames');
[imdsTrain, imdsVal, imdsTest] = splitEachLabel(myDataset, 0.6, 0.2, 'randomized');
Which I then prepare to input into some pre-trained networks:
augimdsTrain = augmentedImageDatastore([227 227 3],imdsTrain,...
'ColorPreprocessing', 'gray2rgb',...
'DataAugmentation', augmenter);
augimdsVal = augmentedImageDatastore([227 227 3],imdsVal, ...
'ColorPreprocessing', 'gray2rgb');
augimdsTest = augmentedImageDatastore([227 227 3],imdsTest,...
'ColorPreprocessing', 'gray2rgb');
What is the correct syntax for using augimdsVal as 'ValidationData'in trainingOptions? Do I just use the augmented datastore as is (as I've seen in some of the documentation):
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', augimdsVal);
Or can I add labels like so:
options = trainingOptions('sgdm','InitialLearnRate', 0.0001, 'ValidationData', {augimdsVal imdsVal.Labels});
Or is there a better way?

Akzeptierte Antwort

Harsha Priya Daggubati
Harsha Priya Daggubati am 15 Mai 2020
Hi,
The name-value pair 'ValidationData' can support only the following types as a value:
  1. Image Data Store.
  2. Data Store.
  3. Table.
  4. Cell array of X and Y, where X represents data while Y represents corresponding labels.
So, I guess it is invalid to give labels again as a value.
Refer to the following link:
Hope this clarifies your concern!
  3 Kommentare
Harsha Priya Daggubati
Harsha Priya Daggubati am 15 Mai 2020
As the imagedataStore has labels, there is no need to explicitly specify labels to augmented image datastore, when we use imds as the argument during creation.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Image Data Workflows finden Sie in Help Center und File Exchange

Produkte


Version

R2020a

Community Treasure Hunt

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

Start Hunting!

Translated by