<p><a href="https://github.com/albumentations-team/albumentations">Albumentations </a>is a Python library for fast and flexible image augmentations. The library is widely used in <a href="https://albumentations.ai/whos_using#industry">industry</a>, <a href="https://albumentations.ai/whos_using#research">deep learning research</a>, <a href="https://albumentations.ai/whos_using#competitions">machine learning competitions</a>, and <a href="https://albumentations.ai/whos_using#open-source">open source projects</a>.</p>

<p>Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection.</p>

<h2>Quick Start</h2>

<p>Albumentations requires Python 3.5 or higher. To install the library from PyPI run:</p>

<blockquote>
<p>pip install albumentations</p>
</blockquote>

<h2>Rich examples</h2>

<p>To make quick-start easier we&#39;ve made a bunch of examples on using our library for various tasks. Check them here:</p>

<ul>
	<li><a href="https://github.com/albumentations-team/albumentations_examples">https://github.com/albumentations-team/albumentations_examples</a></li>
	<li><a href="https://github.com/albumentations-team/albumentations_examples/tree/master/notebooks">https://github.com/albumentations-team/albumentations_examples/tree/master/notebooks</a></li>
</ul>

<h2>Different tasks</h2>

<p>Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation.</p>

<figure class="image"><img src="https://storage.yandexcloud.net/datasouls-ods/files/411f1ebb/tasks.jpg" /></figure>

<p>&nbsp;</p>

<h2>Different domains</h2>

<p>Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks.</p>

<figure class="image"><img src="https://storage.yandexcloud.net/datasouls-ods/files/069cd2ce/domains.jpg" /></figure>

<h2>Seamless integration with deep learning frameworks</h2>

<p>Albumentations can work with various deep learning frameworks such as <a href="https://pytorch.org/">PyTorch</a> and <a href="https://keras.io/">Keras</a>. The library is a part of the <a href="https://pytorch.org/ecosystem/">PyTorch ecosystem</a>.</p>

<figure class="image"><img src="https://storage.yandexcloud.net/datasouls-ods/files/e1955e8e/deep_learning_frameworks.png" /></figure>

Ievgen Khvedchenia

Alexander Buslaev

Vladimir Iglovikov

Alex Kalinin

Alexander Parinov

Mikhail Druzhinin

Fast image augmentation library and easy to use wrapper around other l

AlbumentationsFounded 5 years ago

Albumentations
Founded 5 years ago