|2 months ago||17 days ago|
|MIT License||MIT License|
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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.
Simple and Efficient Image Dataset Creator
1 project | reddit.com/r/tensorflow | 2 Oct 2021
python -m pip install git+https://github.com/piyop/tfaug
Support creation of tf.data.Dataset (data generator) and augmentation for image.
3 projects | reddit.com/r/tensorflow | 12 Jun 2021
DATA AUGMENTATION IN NATURAL LANGUAGE PROCESSING
2 projects | dev.to | 18 May 2022
Shuffle Sentences Transform:- it involves the shuffling of sentences in the text to create an augmented version of the original text, this technique can be achieved using the Albumentation package.
How to further improve validation accuracy in multiclass semantic segmentation
1 project | reddit.com/r/computervision | 27 Jan 2022
I recommend looking into using Albumentations. It'll really help with your data augmentation.
Data augmentation strategies for object detection? Could you point me to good resources or best practices you know of?
1 project | reddit.com/r/computervision | 30 Oct 2021
You can definitely look at Albumentation - we had a ton of success working with this library https://github.com/albumentations-team/albumentations
Albumentations 1.1.0 Was Released
1 project | news.ycombinator.com | 5 Oct 2021
Optimization for semantic segmentation!
1 project | reddit.com/r/deeplearning | 6 Sep 2021
[P] Albumentations 1.0 is released (a Python library for image augmentation)
4 projects | reddit.com/r/MachineLearning | 1 Jun 2021
Full release notes: https://github.com/albumentations-team/albumentations/releases/tag/1.0.04 projects | reddit.com/r/MachineLearning | 1 Jun 2021
If you want to know what changed in the latest versions, please refer to the [Release Notes](https://github.com/albumentations-team/albumentations/releases) page.
[Urgent Help] CNN model not working desirably
1 project | reddit.com/r/neuralnetworks | 30 Apr 2021
Image augmentation could help amplify your dataset without needing additional training data. Check out albumentations. It’s super easy.
What are some alternatives?
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.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
ttach - Image Test Time Augmentation with PyTorch!
image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
SickZil-Machine - Manga/Comics Translation Helper Tool
cvlib - A simple, high level, easy to use, open source Computer Vision library for Python.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition