Data augmentation

This repository shows how to use data augmentation on various data format. We also use the newest facebook tool for data augmentation : Augly

File structure

.
├── AugLy_audio.ipynb
├── AugLy_image.ipynb
├── AugLy_text.ipynb
├── AugLy_video.ipynb
├── Data_Augmentation_CNN.ipynb
├── Exemples_de_data_augmentation.ipynb
├── README.md
└── transformations_tests
    ├── Copy_of_AugLy_audio.ipynb
    ├── Copy_of_AugLy_image.ipynb
    ├── Copy_of_AugLy_text.ipynb
    ├── Copy_of_Data_Augmentation_with_Data_augmentation_CNN.ipynb
    └── Copy_of_Data_Augmentation_without_Data_augmentation_CNN.ipynb

Explanations

/AugLy_audio.ipynb

Notebook that shows how to apply data augmentation on audio data with AugLy

/AugLy_image.ipynb

Notebook that shows how to apply data augmentation on image data with AugLy

/AugLy_text.ipynb

Notebook that shows how to apply data augmentation on text data with AugLy

/AugLy_video.ipynb

Notebook that shows how to apply data augmentation on video files with AugLy

/Data_augmentation_CNN.ipynb

Notebook that shows how to apply data augmentation and train a CNN model with TensorFlow.Keras

/Exemples_de_data_augmentation.ipynb

Notebook that shows various data augmentation proccess as flipping, Grayscale, saturate, change the brightness, crop or rotate the image.

transformations_tests/

Folder where you can find other kind of transformations applied on several data types (audio, video, text, sound)