Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

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

Image augmentation library in Python for machine learning.

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

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

A framework for data augmentation for 2D and 3D image classification and segmentation

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Image Test Time Augmentation with PyTorch!

Image augmentation for object detection, segmentation and classification

automatic color-grading and image data augmentation

Geometric Augmentation for Text Image

Data augmentation tool for images

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

OpenCV implementation of Torchvision's image augmentations

Tools for tissue image stain normalisation and augmentation in Python 3

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

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

Artificial Intelligence Learning Notes.

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

Python implementation of Text-Image-Augmentation

Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.

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

an image registration/augmentation/segmentation package

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.