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PyPI · #2166 most downloaded on PyPI
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows.
Last release 1 years ago
27 May 2025
Ships fairly regularly
a new release about every 2 weeks
Most releases are documented
notes for 48 of the last 60 stable releases
1 version withdrawn
withdrawn after publishing
8 years old
87 releases · first in 2018
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One column per quarter.
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The main change in this release is the addition of the operations on bounding boxes to the
The main change in this release is the addition of the operations on bounding boxes to the
Currently supported the following formats for the bounding boxes:
[x_min, y_min, width, height], ex [97, 12, 150, 200][x_min, y_min, x_max, y_max], ex [97, 12, 247, 212]It may happen that after the transformation a big part of the bounding box was cropped and it is needed to exclude such boxes.
We support such a bounding box filtering based on the:
np.random occurrences to random due to the numpy behavior reported in https://github.com/pytorch/pytorch/issues/5059Nothing published for this version
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