Data-augmentation Libraries

12 Components & Libraries

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Data-augmentation Libraries

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. There are lots of reasons to use TextAttack: You should be running Python 3.6+ to use this pack…

Medical imaging toolkit for deep learning

If you like this repository, please click on Star! If you use this package for your research, please cite our paper: BibTeX entry: This project is supported by the following institutions:

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal intera…

Python package to corrupt arbitrary images.

Looping over all available corruptions can be done either by name or by index: If you use our code or the imagecorruptions package, please consider citing:

A Python package for time series augmentation

Prerequisites: Python 3.5 or later. A first-time user may start with two examples: Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. P…

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

This library implements elastic grid-based deformations for N-dimensional images. The elastic deformation approach is described in The procedure generates a coarse displacement grid with a random dis…

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

Our augmentation method can accurately emulate realistic color constancy degradation. Existing color augmentation methods often generate unrealistic colors which rarely happen in reality (e.g., green…

A simpler way of reading and augmenting image segmentation data into TensorFlow

This is an efficient semantic segmentaiton data input pipeline function for Tensorflow 2. The pipeline is made to be multithreaded, and uses the tf data API to prerocess the image and segmentation ma…

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio. A small set of sounds and impulse responses are installed along with the script,…

Related tags

scene-text-recognition

ocr

optical-character-recognition

information-retrieval