autoalbument VS autovideo

Compare autoalbument vs autovideo 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)

autovideo

AutoVideo: An Automated Video Action Recognition System (by datamllab)
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autoalbument autovideo
1 2
195 310
2.6% 1.6%
0.0 4.9
over 2 years ago 10 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.
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.

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.

autovideo

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

What are some alternatives?

When comparing autoalbument and autovideo 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

MoViNet-pytorch - MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

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

autokeras - AutoML library for deep learning

imgaug - Image augmentation for machine learning experiments.

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.

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code