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Image Augmentation Python Packages

Python packages with the GitHub topic image-augmentation. Sorted by relevance, with stars and monthly downloads.
aleju
imgaug

Image augmentation for machine learning experiments.

957K 15K 2K
hahnec
color-matcher

automatic color-grading and image data augmentation

478K 651 42
akiomik
pilgram

A python library for instagram filters

169K 132 18
NVIDIA
nvidia-dali-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

50K 6K 670
albumentations-team
albumentationsx

Next-generation Albumentations: dual-licensed for open-source and commercial use

19K 498 31
dKosarevsky
albumentationsx-mcp

MCP server for AlbumentationsX image augmentation workflows

17K 5 0
NVIDIA
nvidia-dali-cuda130

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

3K 6K 670
NVIDIA
nvidia-dali-nightly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

3K 6K 670
NVIDIA
nvidia-dali-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 670
NVIDIA
nvidia-dali-nightly-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 670
NVIDIA
nvidia-dali-tf-plugin-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 670
NVIDIA
nvidia-dali-tf-plugin-nightly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

1K 6K 670
NVIDIA
nvidia-dali-tf-plugin-nightly-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

1K 6K 670
waikato-datamining
image-dataset-converter-imgaug

Image augmentation extension for the image-dataset-converter library.

1K 0 0
NVIDIA
nvidia-dali-tf-plugin-cuda130

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

1K 6K 670
ramsi-k
albumentations-mcp

MCP-compliant image augmentation server using Albumentations

1K 1 1
Lornatang
yolov3-pytorch

Pytorch implements yolov3.Good performance, easy to use, fast speed.

808 35 14
vkit-x
vkit-nightly

Boosting Document Intelligence

803 23 1
Ximilar-com
tf-image

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

626 26 5
albumentations-team
autoalbument

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

512 205 22
NVIDIA
nvidia-dali-nightly-cuda130

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

427 6K 670
NVIDIA
nvidia-dali-tf-plugin-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

386 6K 670
NVIDIA
nvidia-dali-weekly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

380 6K 670
mrl-amrl
preimutils

All you need to prepare and preprocess your annotated images

309 8 2
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