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Normally we will put the augmentation part in the def __getitem__(self, index) of class TensorData_scale(Dataset), so that for every epoch, a different kind of augmentation could be applied to [img1,…
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### Dataset Name
ssh_train_aug.zarr ubm_train_aug.zarr ssh_train.zarr ssh_val.zarr ssh_test.zarr bm_train.zarr bm_val.zarr bm_test.zarr ubm_train.zarr ubm_val.zarr ubm_test.zarr
### Dataset URL
htt…
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Hello Phil,
Sorry to bother once more, but in the paper it is mentioned that during the training process, data augmentation is used to increase the generalizability of the network. I understand tha…
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Getting error while execution this block of code on M1 MBP Python 3.8.6
`data_augmentation = keras.Sequential(
[
layers.experimental.preprocessing.RandomFlip("horizontal",
…
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Hi there,
how do you install "hal" for data augmentation? it is imported like this,
`from hal.augmentation.geometric_transforms import random_rigid_transform, apply_geometric_transform`
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I want to prevent overfitting by using data augmentation
But when augmentation is used, objective is increased to NAN
I used mean frequency balancing in loss function, but there was no problem w…
wjNam updated
7 years ago
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When I was runing the generatepatches.m, a error was raised that "undefined function or variable 'data_augmentation'.
I would like asking about it, is it a default function or user defined function …
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The img.zip and anno.zip files contain only 71,828 data points. The dataset is stated to have 102,588 entries. Could you please clarify where the remaining 30,760 entries are located?
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This is either a question, or a feature request:
Does Augmentor.jl allow for 3D data augmentation? I tried to pass a 3D array but got an error message.
If this is not possible right now: Would it …
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## **Title** :
Sugarcane Leaf Disease Detection
## **Aim** :
- This project focuses on classifying sugarcane leaf diseases using different machine learning models. The dataset contains images of …