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Data Augmentation not working

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Hridayi
Hridayi el 14 de Nov. de 2019
Respondida: Mahmoud Afifi el 2 de Abr. de 2020
Hi,
I'm trying to do data augmentation using 'ImageDataAugmenter' on a PixelLabelImageDatastore but the rate of my training is not decreasing (as it should if more images are added).
I'm not getting any error but the my training progress shows the same number of iterations and epochs as my non-augmented dataset.
This is my code:
imageAugmenter = imageDataAugmenter( ...
'RandRotation',[-10,10], ...
'RandXTranslation',[-10 10], ...
'RandYTranslation',[-10 10])
augimds = pixelLabelImageDatastore(imds,pxds,'DataAugmentation',imageAugmenter,'OutputSize',imageSize)
trainedNet_aug = trainNetwork(augimds,lgraph,options)
Does Data augmentation add new images to the datastore? Because it still shows my original 300 images in the augimds variable.

Respuesta aceptada

Jyothis Gireesh
Jyothis Gireesh el 18 de Nov. de 2019
As per the MATLAB documentation for imageDataAugmenter, the augmented images are not saved to memory. So, the size of augimds would effectively remain the same in MATLAB workspace. But these images are used while training.
You may refer to the following link on imageDataAugmenter for any clarifications.
  2 comentarios
Hridayi
Hridayi el 18 de Nov. de 2019
So then how would we increase the "number" of augmentations? Is that just a matter increasing the amount of epochs that the training runs for?
Jyothis Gireesh
Jyothis Gireesh el 19 de Nov. de 2019

Iniciar sesión para comentar.

Más respuestas (1)

Mahmoud Afifi
Mahmoud Afifi el 2 de Abr. de 2020
Check this augmenter.
It applies color augmentation and is shown to improve the accuracy for image classification and semantic segmentation. Check the paper for more details.

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