albumentations VS ttach

Compare albumentations vs ttach and see what are their differences.

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 (by albumentations-team)
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albumentations ttach
7 1
10,178 723
2.7% -
7.4 1.5
16 days ago 4 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

albumentations

Posts with mentions or reviews of albumentations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-01.

ttach

Posts with mentions or reviews of ttach. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-09.
  • Setting up Google Colab for Deep Learning
    2 projects | dev.to | 9 Jun 2021
    While Colab usually comes pre-installed with most of the basic dependencies like Tensorflow, PyTorch, scikit-learn, pandas and many more, there are chances that you have to install external packages at times. You can do that using the !pip install command. For example we can install the ttach library which is used for augmentation of images during test phase. This can be done using:

What are some alternatives?

When comparing albumentations and ttach you can also consider the following projects:

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

TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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