tfaug VS imgaug

Compare tfaug vs imgaug and see what are their differences.

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tfaug imgaug
2 5
5 12,204
- -
6.5 0.0
7 days ago 3 months ago
Jupyter Notebook 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tfaug

Posts with mentions or reviews of tfaug. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-12.

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 tfaug 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.

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/