My goal is to train an NN, that will be able to sort images into categories (0 to 4). I have my own dataset consisting of ~20000 photos and I'm using ...
My goal is to train an NN, that will be able to sort images into categories (0 to 4). I have my own dataset consisting of ~20000 photos and I'm using ...
I am developing a classification problem that uses data augmentation. To do this, I have already extracted features from the copies by adding noise an ...
The following code is yielding this error for both GPT2 and Xlnet bases. The download of the bases occurs, but the same error prompt is displayed at t ...
I have this problem of splitting mnist dataset + adding augmentation data. i want to take only total of 22000(including training + test set) data from ...
I have read this tutorial for using albumentations with keras sequence. The code is as follows : ` ` The thing is I don't understand how it is aug ...
I want to apply augmentation on voice samples on the fly. I tested My custom voice augmentation data generator and it seems it works well. but when I ...
I have a dataset that does not have separate folders for training and testing. I want to apply data augmentation with transforms only on the training ...
whenever I try run this code, I receive a How could I fix this? i sucessfully downloaded MNIST dataset, however, when calling image indexed ...
I'm trying to create a simple preprocessing augmentation layer, following this Tensorflow tutorial. I created this 'simple' example that shows the pro ...
I'm trying to apply data augmentation to a video dataset wherein each video is applied with the different augmentations. For example, all frames in vi ...
I have an image dataset that is quite imbalanced, with one class having 2873 images and another having only 115. The rest of the classes have ~250 ima ...
My code is: But the mask are not correspond to its image after augmentation as the graph shows. The function that I used on them are all the same b ...
I'm facing a classification problem between 2 classes. Currently I augment the dataset using this code: But I think that increasing the data of cla ...
I am trying to build a noise-robust audio classification model. To evaluate my results I would like to run a loop to use model.evaluate() on a tf.data ...
I'm trying to augment my dataset by randomly changing the hue of its images within a for loop but the changes do not persist outside of the loop. I im ...
So I have this code here for implementing mix-up augmentation. It's incredibly slow and I'm not sure how to make it faster. It seems like there are so ...
Currently, I have managed to solve this but it is slower than what I need. It takes approximately: 1 hour for 500k samples, the entire dataset is ~100 ...
I'm trying to come up with a new image augmentation that changes colors like above automatically, but to everything not just the flower. The above i ...
So this may be a silly question but how exactly do the preprocessing layers in keras work, especially in the context of as a part of the model itself. ...
with the following code, I augmented some images and I would like to know how I can make each generated image have the corresponding label I try with ...