All Questions
Tagged with data-augmentation classification
7 questions
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Data augmentation technique not working correctly
Write a function that can shift an MNIST image in any direction (left, right, up, or down) by one pixel.6 Then, for each image in the training set, create four shifted copies (one per direction) and ...
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How to perform a classification experiment with data augmentation?
I'm working on an audio classification experiment. In my original database, I have 1,412 records. To improve the performance of my models, I resorted to data augmentation, applying simple techniques ...
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Does synthetic data be over sampled as well?
I'm building a binary text classifier, the ratio between the positives and negatives is 1:100 (100 / 10000).
By using back translation as an augmentation, I was able to get 400 more positives.
Then I ...
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2
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How much data augmentation is required on an imbalanced dataset?
Imagine I have a dataset with positive and negative sentences, and I need to train a transformer (Like BERT) to do the binary classification. The problem is that there are 100 negative sentences and ...
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Data augmentation in deep training
I'm trying to understand the role of data augmentation and how it can affect the performance/accuracy of a deep model. My target application is a fire classification (fire or not, on video frames), ...
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Data Augmentation techniques for classification of imbalanced time series datasets
Now I have a task to classify the imbalanced time series datasets using ML classifiers, such as Logistic Regression, Decision Tree, SVM, and KNN. I am not allowed to use the Deep Learning tools, such ...
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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:
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