Data augmentation techniques machine learning (links):
- Image Augmentations in Keras: http://machinelearningmastery.com/image-augmentation-deep-learning-keras/
- Data augmentation techniques for image datasets: https://www.quora.com/What-are-good-data-augmentation-techniques-for-a-small-image-data-set | http://stackoverflow.com/questions/36144993/data-augmentation-techniques-for-small-image-datasets
- Data augmentation for machine learning: https://www.r-bloggers.com/what-you-need-to-know-about-data-augmentation-for-machine-learning/
- Great post by Vivek Yadav on data augmentation for SDC: https://chatbotslife.com/using-augmentation-to-mimic-human-driving-496b569760a9
Popular data augmentation techniques for Images:
- Rotation
- Translation
- Zoom (Rescale)
- Flip (Left/Right, Up/Down)
- Color manipulations
- Grayscale
- Noise (e.g. Gaussian Noise)
- Dropout
- Normalization
- Shear
Python library to help you with augmenting images for your machine learning projects: https://github.com/aleju/imgaug
