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Supercharge Computer Vision Projects with Albumentations Library for Custom Augmentation
All in one place of Augmentation for Deep Learning, Image Classification, Image Segmentation, Computer Vision including Mask, Bounding Box and Keypoints
First thing First!
Why Augmentation in Deep Learning?
Augmentation in deep learning and computer vision has become indispensable for several crucial reasons. Firstly, it enriches training datasets, allowing models to learn from a more diverse range of examples, which is particularly important when labelled data is limited. Augmentation also aids in reducing overfitting, as it introduces variations in the data, making models more robust and adaptable to unseen real-world scenarios. Moreover, augmentations simulate real-world conditions in computer vision, such as changes in lighting, viewpoint, or scale, ensuring that models perform well in practical applications. In essence, augmentation empowers deep learning models to better understand and generalize from the complexities of the real world, making it an essential tool for building robust and accurate computer vision systems.
And to provide high quality Augmentation we use…
