Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for support and maintenance. Albumentations is a fast and flexible open-source Python library used for image augmentation in computer vision tasks.
Overview
This is a fast, open-source computer vision augmentation library designed to simplify image preprocessing and dataset enhancement for deep learning models. Albumentations provides highly optimized and flexible image transformation components such as flipping, rotation, scaling, cropping, color jittering, noise injection, normalization, and geometric distortions that can be combined into augmentation pipelines. It helps improve machine learning model performance by generating modified versions of images such as rotations, flips, scaling, cropping, brightness/contrast changes, and noise addition. It is widely used in deep learning projects because it is highly optimized, easy to use, and supports integration with frameworks like PyTorch and TensorFlow.
Highlights
- Open-source Python library for image augmentation
- Commonly used in classification, detection, and segmentation tasks
- Used in computer vision and deep learning projects
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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Pricing
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Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.07 |
t2.micro | $0.02 |
t3.micro | $0.07 |
r5.large | $0.07 |
m3.large | $0.07 |
t2.xlarge | $0.07 |
m5.large | $0.07 |
t2.small | $0.07 |
t3.small | $0.07 |
m3.medium | $0.07 |
Vendor refund policy
No Refund
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #cd /opt #python3 -m venv alb_env source alb_env/bin/activate #pip show albumentations
Support
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