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)
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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| albumentations | autoalbument | |
|---|---|---|
| 28 | 1 | |
| 13,395 | 195 | |
| 1.9% | 2.6% | |
| 8.3 | 0.0 | |
| 4 days 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.
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.
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.
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 2023-12-06.
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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How to label augmented images for training YOLO algorithm?
Here you go: https://albumentations.ai/
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Unstable Diffusion bounces back with $19,000 raised in one day, by using Stripe
I think they should use some data augmentation techniques like I am using for Infinity AI if you wanna see more here. Note that most of these do not work for image generation.
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Tokyo Drift : detecting drift in images with NannyML and Whylogs
Our second approach was a more automated one. Here the idea was to try out an image augmentation library, Albumentations, and use it for adversarial attacks. This time, instead of one-shot images, we applied the transformations at random time ranges. We chose for these transformations also to be more subtle than then one-shot images, such as vertical flips, grayscaling, downscaling, …
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[D] Improve machine learning with same number of images
Check out albumentations. If your use case is segmentation, check out the offline augmentation of this project
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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To get dataset for face image restoration.
You can also curate your own dataset by using open source images (https://universe.roboflow.com/search?q=faces%20images%3E1000) and open source augmentations (https://github.com/albumentations-team/albumentations). Or you can do use the augmentation UI (https://docs.roboflow.com/image-transformations/image-augmentation) to apply noise, blurring, shear, crop, etc.
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.
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[P] Albumentations 1.0 is released (a Python library for image augmentation)
We started to implement differentiable augmentations as a part of AutoAlbument (a tool that automatically searches for the best augmentation policies for your data) - https://github.com/albumentations-team/autoalbument, it is more a research project.
What are some alternatives?
When comparing albumentations and autoalbument 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
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
ttach - Image Test Time Augmentation with PyTorch!
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
autovideo - AutoVideo: An Automated Video Action Recognition System
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
albumentations vs imgaug
autoalbument vs YOLO-Mosaic
albumentations vs YOLO-Mosaic
autoalbument vs imgaug
albumentations vs labelme2coco
autoalbument vs ttach
albumentations vs Mask-RCNN-TF2
autoalbument vs nni
albumentations vs BlenderProc
autoalbument vs autovideo
albumentations vs ttach
autoalbument vs autogluon