Questions tagged [data-augmentation]
The data-augmentation tag has no usage guidance.
39
questions
1
vote
1answer
19 views
Using data agumentation for a frozen pre-trained model
I was following the following article with regards to doing transfer learning:
https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
In the section, Using ...
0
votes
1answer
23 views
Non-Real Time Data Augmentation for CNN Classification. What are the drawbacks?
When people talk about and use data augmentation, are they mostly referring to real-time data augmentation? In the case of image classification, that would involve augmenting the data right before ...
1
vote
1answer
36 views
after augmentation validation accuracy going down?
My main question is about augmentation.
if I process the augmentation I believe it always better than less data
but in my case the validation accuracy going down
train : 7000 images , validation: ...
0
votes
0answers
6 views
Can the test set of non-image data be augmented?
I have learned the test set of image data can be augmented by a method called Test Time Augmentation
and I am wondering after I researched on it if the test set of ...
1
vote
0answers
17 views
Back-Translation model for German and English
Do you know of any pre-trained models for back translation between German and English? I am aware that there are ways to include a monolingual corpus into the training of a machine translation model (...
1
vote
1answer
56 views
Why can't I use data augmentation with a pretrained convnet?
Reading Deep Learning with Python by François Chollet. In section 5.3.1, we've instantiated a pretrained convnet, VGG16, and are given two options to proceed:
A) Running the convolutional base over ...
0
votes
0answers
22 views
How to return batches of augmented images in an image preprocessor?
I've written the following class that generates augmented images one by one. However, I'd like to be able to generate batches of 8 images each (or any number really). The way I'm hoping to do it is:
...
2
votes
1answer
59 views
Is image sharpening a good idea for data augmentation?
I'm training segmentation networks and while the dataset is somehow decent (~5k images) I wanted to augment it, so far I'm trying:
RandomFlip
RandomRotate
RandomBrightness changes
RandomShadows
Due ...
0
votes
0answers
124 views
Implementing back translation as a data augmentation for text classification
Since back translation English->other language -> English seems like quite a useful data augmentation technique , I wanted to experiment with it. E.g. it occurred to me that languages from very ...
2
votes
2answers
287 views
Is there any augmentation tool for images and bounding boxes?
I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding ...
4
votes
1answer
548 views
CNN - imbalanced classes, class weights vs data augmentation
I have a set of data with a few strongly imbalanced classes, eg the smallest class is about 54 times smaller than the largest. Therefore, data augmentation in order to equalize the size of classes ...
0
votes
0answers
9 views
Is it good in general to subtract background from a sequence of images for learning?
Context:
I have a sequence of satellite images, indexed by time, so basically it's a video. Images were taken on top of a mountain, to capture a main cause that affects solar rays. (GHI in other ...
0
votes
1answer
310 views
How to properly rotate image and labels for semantic segmentation data augmentation in Tensorflow?
What's a proper procedure for doing the image and label rotation for semantic segmentation in dataset augmentation using Tensorflow?
Images
I have seen the function tf.contib.image.rotate(), but ...
1
vote
2answers
63 views
Is there a disadvantage to letting a model train for a large number of epochs?
I created a model to solve a time series forecasting problem. I had a limited amount of time series with which I could train the model therefore I decided to augment the data. The data augmentation ...
0
votes
1answer
22 views
Generated training set on convnet
I have a dataset with roughly 800 images that are classified in 18 classes.
The classes are spread unevenly, with some classes having 30 images and others having 5.
In order to increase my dataset,...
2
votes
1answer
199 views
How to benefit Data augmentation when it yields to different classes
I'm trying to classify rooftop sky images orientations, whether it is horizontal or vertical. Knowing that the most obvious feature here is known: orientation. I can simply augment each class by ...
1
vote
1answer
42 views
What brings the performance difference in Deep Learning with different data augmentation strategies?
I am studying the performance of deep learning models toward abnormality detection in chest X-rays.
Due to sparsity of data, I augment the data using different augmentation strategies including:
...
0
votes
1answer
46 views
Methods for augmenting binary datasets
I have a small (~100 samples) dataset with roughly 20 features which are mostly binary, and a few are numeric (~5). I wanted to use methods for augmenting the training set and see if I can get better ...
1
vote
2answers
178 views
When using Data augmentation is it ok to validate only with the original images?
I'm working on a multi-classification deep learning algorithm and I was getting big over-fitting:
My model is supposed to classify sunglasses on 17 different brands, but I only had around 400 images ...
2
votes
2answers
608 views
How can I augment my image data?
What are the correct and common ways to normalize image for CNN?
I used to work with text and it was pretty straightforward. Removing stop words, clean text from noise, tokenization, stemming etc. ...
0
votes
1answer
90 views
Data Augmentation for Regression ANN with low Sample Size
There is a Dataset of 65 tuples.
I want to Augment new Data from this set and validate my ANN on the original Data.
Is there a possibility, that my ANN already overfits on the augmentet Data. For ...
2
votes
0answers
114 views
Data augmentation / feature extraction on pre-trained convnets
I'm reading 'Deep Learning with Python' by François Chollet, which is an excellent book. He talks about using pre-trained convnets (in his example, VGG16) and then running smaller datasets to tweak ...
1
vote
2answers
2k views
Data Augmentation recommended pipeline
I want to perform image classification using Keras and a dataset made of 50 classes. At the moment, I have only 7 images per class and I need to perform data augmentation in order to train the model ...
3
votes
1answer
856 views
How to create speech commands data set
I am planning to create a speech recognition network that recognize few words (voice commands) and came across Speech Commands dataset from google. Apart from available dataset I am planning to add ...
0
votes
1answer
98 views
GAN's for data augmentation [closed]
I am working to augment my data using Generative Adversarial Networks, I have used Deep Convolutional GAN's for this purpose but they are not learning the right data distribution, so please suggest me ...
1
vote
0answers
163 views
Expected behaviour of loss and accuracy when using data augmentation
I have implemented a convolutional neural network in Keras, and I use off-line data augmentation in the training set. The way I do this is that I create batches of training data in separate files (...
2
votes
0answers
167 views
Spatial Transformer Networks and Data Augmentation
We are all familiar with the famous Deep Mind paper STN.
Upon implementation, such as https://pytorch.org/tutorials/intermediate/spatial_transformer_tutorial.html , did anyone still use input data ...
4
votes
1answer
2k views
Memory error on using data generator in keras
I am using the following augmentations on dataset of size 9 GB:
...
1
vote
0answers
143 views
Data augmentation from directory and oriented features with Keras
Let this, be a dataset labeling the head pose for each photo:
...
1
vote
1answer
863 views
How to implement PCA color augmentation as discussed in AlexNet
I read through "ImageNet Classification with Deep Convolutional Neural Networks" again specifically for details on how to implement PCA color augmentation.
I am unsure if I have it right. Here is how ...
1
vote
1answer
1k views
Data augmentation: rotating images and zero values
A lot of people rotate images to create a larger training set for neural networks. For most nets, all of the inputs have to be the same size so the image rotation function has to crop the newly ...
-1
votes
1answer
711 views
Is image data augmentation breaking the distribution?
NOTE: if you can please edit my question title...
I am thinking a simple question just came in my mind.
There are many people use data augmentation on their image data to train deep CNN.
When I ...
1
vote
0answers
23 views
Are annotated audio datasets augmented with mutated versions the way image datasets are?
Data augmentation is very standard for annotated image datasets for tasks like image labelling. Images are flipped, rotated, pixelated and so on, to add more training data and make the system robust ...
5
votes
2answers
1k views
Data Augmentation for Regression
I want to use deep learning for regression. However, the number of training samples is not large. In image processing, some new samples are generated on the basis of initial data through tasks like ...
3
votes
0answers
2k views
Data Augmentation in Tensorflow
I am trying to replicate a network for facial key point detection like in the following link Daniel Nouri's Blog on KFKD. The blog uses Lasagne but i am trying to do using Tensorflow. I am unable to ...
1
vote
1answer
531 views
Images Dataset Augmentation with fixed parameters of Crop & Rotation Angle
I have a Data Set of 170 images in total. of each image i want to create 36 images like this.
An image is cropped from its top-left corner by cropping 5 percent from the top and from the left side of ...
5
votes
1answer
781 views
Data Augmentation in videos
I know some techniques for augmenting data when images are used, but I don't know if there are any such techniques specifically catered to videos. Since videos have an additional temporal dimension ...
5
votes
1answer
462 views
Why augmenting the training data with binary attributes works better for our dataset?
We have a dataset with multiple features ~400 where all of the features have a histogram as you can see in the following picture (sampled only a few)
Our assumption
We thought that this looked like ...
2
votes
2answers
447 views
Are there libraries or techniques for 'noisifying' text data?
Data augmentation techniques for image data and audio data (eg speech recognition) have proven successful and are now common.
Are there libraries or techniques for augmenting text data?
For example:
...
