Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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Updated
Jun 25, 2025 - Python
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.
Image augmentation for object detection, segmentation and classification
Artificial Intelligence Learning Notes.
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
A simpler way of reading and augmenting image segmentation data into TensorFlow
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
Custom image data generator for TF Keras that supports the modern augmentation module albumentations
Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.
Next-generation Albumentations: dual-licensed for open-source and commercial use
Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
Pytorch implements yolov3.Good performance, easy to use, fast speed.
Image augmentation with simultaneous transformation of keypoints, bounding boxes, and segmentation mask
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. T…
discolight is a robust, flexible and infinitely hackable library for generating image augmentations ✨
Optimize RandAugment with differentiable operations
TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.
This repository is containing an object classification & localization project for SINGLE object.
Chechink the performance of different augmentation techniques on the BraTS 2020 data.
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