autoalbument VS imgaug

Compare autoalbument vs imgaug and see what are their differences.

autoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/ (by albumentations-team)
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autoalbument imgaug
1 5
135 12,189
3.0% -
1.1 0.0
5 months ago 3 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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autoalbument

Posts with mentions or reviews of autoalbument. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-01.

imgaug

Posts with mentions or reviews of imgaug. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-19.

What are some alternatives?

When comparing autoalbument and imgaug you can also consider the following projects:

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model

AugLy - A data augmentations library for audio, image, text, and video.

speechbrain - A PyTorch-based Speech Toolkit

tensorflow - An Open Source Machine Learning Framework for Everyone

png - A pure Erlang library for creating PNG images. It can currently create 8 and 16 bit RGB, RGB with alpha, indexed, grayscale and grayscale with alpha images.

tfaug - tensorflow easy image augmentation package