image-statistics-matching VS autoalbument

Compare image-statistics-matching vs autoalbument and see what are their differences.

image-statistics-matching

Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation (by continental)

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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image-statistics-matching autoalbument
1 1
24 195
- 2.6%
2.1 0.0
almost 2 years ago over 2 years 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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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.

image-statistics-matching

Posts with mentions or reviews of image-statistics-matching. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing image-statistics-matching and autoalbument 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

cvlib - A simple, high level, easy to use, open source Computer Vision library for Python.

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

tfaug - tensorflow easy image augmentation package

imgaug - Image augmentation for machine learning experiments.

auto-blog-banner - 🌌 A Python script to generate blog banners from command line.

ttach - Image Test Time Augmentation with PyTorch!

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.