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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.

917K 15K 2K
hahnec
color-matcher

automatic color-grading and image data augmentation

549K 642 42
akiomik
pilgram

A python library for instagram filters

259K 131 17
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.

28K 6K 665
albumentations-team
albumentationsx

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

18K 325 28
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.

4K 6K 665
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 665
vkit-x
vkit-nightly

Boosting Document Intelligence

3K 23 1
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.

3K 6K 665
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.

2K 6K 665
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.

2K 6K 665
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.

2K 6K 665
Lornatang
yolov3-pytorch

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

1K 35 14
ramsi-k
albumentations-mcp

MCP-compliant image augmentation server using Albumentations

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

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

990 0 0
NVIDIA
nvidia-dali-tf-plugin-cuda120

NVIDIA DALI TensorFlow plugin for CUDA 12.0. Git SHA: fd3f55f88b5f41f05e061d86843ddfd3da88ad83

939 6K 665
Ximilar-com
tf-image

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

840 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/

612 205 22
NVIDIA
nvidia-dali-tf-plugin-cuda110

NVIDIA DALI TensorFlow plugin for CUDA 11.0. Git SHA: d5c7b54f776fcba58944048f984f5645e7d7d1bb

394 6K 665
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.

369 6K 665
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.

347 6K 665
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.

300 6K 665
looooongChen
tfaugmentor

An image augmentation library for tensorflow. It can be used seamlessly with tf.data.Dataset

289 6 1
NVIDIA
nvidia-dali-tf-plugin-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.

272 6K 665
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