AugLy VS imgaug

Compare AugLy vs imgaug and see what are their differences.

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AugLy imgaug
14 7
4,958 14,385
0.2% -
5.7 0.0
3 days ago 3 months ago
Python Python
GNU General Public License v3.0 or later 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.

AugLy

Posts with mentions or reviews of AugLy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-21.

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 2023-03-23.

What are some alternatives?

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

PySyft - Perform data science on data that remains in someone else's server

albumentations - Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

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

speechbrain - A PyTorch-based Speech Toolkit

tensorflow - An Open Source Machine Learning Framework for Everyone

river - 🌊 Online machine learning in Python

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

tfaug - tensorflow easy image augmentation package

evidently - Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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

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