aleju/imgaug
Image augmentation for machine learning experiments.
This tool helps machine learning engineers and researchers expand their image datasets by creating many altered versions of original images. You feed it a set of input images, along with associated data like heatmaps, segmentation maps, keypoints, or bounding boxes. It then outputs a much larger collection of subtly modified images and their corresponding updated annotations, making your models more robust.
14,732 stars. Used by 11 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need to artificially increase the size and diversity of your image dataset to train more robust computer vision models.
Not ideal if you are looking for advanced image editing features or photo manipulation for graphic design, as its focus is specifically on data augmentation for machine learning.
Stars
14,732
Forks
2,464
Language
Python
License
MIT
Category
Last pushed
Jul 30, 2024
Commits (30d)
0
Dependencies
9
Reverse dependents
11
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