autoalbument VS albumentations

Compare autoalbument vs albumentations 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)

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 (by albumentations-team)
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autoalbument albumentations
1 7
135 9,536
3.0% 3.3%
0.6 8.2
5 months ago 7 days 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.

albumentations

Posts with mentions or reviews of albumentations. 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 autoalbument and albumentations you can also consider the following projects:

imgaug - Image augmentation for machine learning experiments.

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

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

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

image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation

SickZil-Machine - Manga/Comics Translation Helper Tool

ttach - Image Test Time Augmentation with PyTorch!

chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

StratosphereLinuxIPS - Slips. A machine learning-based Intrusion Prevention System (IDS/IPS). Free Software. Stratosphere Laboratory