2 Repos
Awesome GitHub RepositoriesAugmentation
Preprocessing pipelines that synchronize bounding boxes and masks during image transformations.
Distinct from Object Detection: Focuses on data augmentation for detection pipelines rather than the detection inference process.
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Awesome Augmentation GitHub Repositories
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- albumentations-team/albumentations
albumentations-team/albumentations
15,308Auf GitHub ansehenAlbumentations is a computer vision image augmentation library designed to increase training data diversity for deep learning models. It provides a toolset for applying geometric and color transformations to images and annotations, including a specialized collection of 3D operations for volumetric data used in medical and scientific imaging. The library functions as an image mask and bounding box transformer, automatically updating masks, bounding boxes, and keypoints when images undergo geometric changes. This ensures that spatial alterations remain synchronized across images and their assoc
Automatically updates bounding boxes and masks during image transformations to maintain label alignment.
Python - aleju/imgaug
aleju/imgaug
14,742Auf GitHub ansehenimgaug is a Python library for machine learning data augmentation and computer vision dataset expansion. It provides tools to increase the volume and variety of training sets by applying random geometric, color, and noise transformations to images. The library ensures spatial consistency by synchronizing transformations across images and their associated annotations, such as bounding boxes, keypoints, and segmentation maps. It uses a compositional pipeline pattern to chain multiple augmentations into sequences and employs deterministic seed management to reproduce specific data samples. The
Synchronizes the application of identical random transformations across images and their corresponding annotations.
Python
