imgaug VS albumentations

Compare imgaug vs albumentations and see what are their differences.

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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imgaug albumentations
5 6
12,020 9,218
- 2.1%
0.0 8.2
about 1 month ago 10 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.

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.

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 imgaug and albumentations you can also consider the following projects:

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

AugLy - A data augmentations library for audio, image, text, and video.

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

labelme2coco - Make your own dataset for object detection and transform the format to coco json format

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

speechbrain - A PyTorch-based Speech Toolkit

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.

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

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

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

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