kennethleungty/Image-Augmentation-Libraries
Sample implementation codes for a variety of popular image augmentation Python packages
This project helps computer vision practitioners enhance their image datasets. You can input your raw images and get back a larger, more diverse set of modified images, which is crucial for training robust machine learning models. It's designed for anyone building or improving computer vision systems, such as image classifiers or object detectors.
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Use this if you need to artificially expand your image dataset to improve the performance and generalization of your computer vision models.
Not ideal if you are looking for a complete, end-to-end computer vision solution rather than just image augmentation tools.
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Jupyter Notebook
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MIT
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Last pushed
Jun 20, 2022
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