Augmentor and Augmentor.jl
These are ecosystem siblings—parallel implementations of the same augmentation framework design in different programming languages (Python vs. Julia), allowing machine learning practitioners to use equivalent augmentation pipelines in their language of choice.
About Augmentor
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
Need more training data for your image-based machine learning project? This tool helps you generate diverse new images from your existing dataset by applying various transformations like rotations, zooms, and flips. It takes your original images and outputs a larger set of modified images, perfect for anyone building and training computer vision models.
About Augmentor.jl
Evizero/Augmentor.jl
A fast image augmentation library in Julia for machine learning.
This tool helps machine learning practitioners efficiently create varied versions of their image datasets. You input a collection of original images, define a sequence of modifications like rotations, crops, or distortions, and it outputs an expanded dataset with augmented images. This is for data scientists and machine learning engineers working on computer vision tasks.
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