Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Albumentations is a Python image augmentation library for computer vision and deep learning workflows, preconfigured on Ubuntu 26.04 with OpenCV Headless and NumPy for AI model training and image processing.
Overview
Albumentations is a fast and flexible open-source Python library for image augmentation, designed for computer vision and deep learning applications. It provides a comprehensive collection of image transformation techniques that help improve model accuracy, robustness, and generalization by generating diverse training datasets.
This product comes preconfigured on Ubuntu 26.04 with Albumentations and its commonly used dependencies, including OpenCV Headless, NumPy, and Python, providing a ready-to-use environment for developing, training, testing, and deploying computer vision and image processing applications.
Features of Albumentations:
- High-performance image augmentation for computer vision and deep learning workflows.
- Comprehensive collection of geometric, color, blur, noise, cropping, and distortion transformations.
- Supports object detection, image classification, semantic segmentation, and keypoint detection tasks.
- Compatible with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras.
- Integrates seamlessly with OpenCV and NumPy for efficient image preprocessing.
- Supports configurable augmentation pipelines for training and inference workflows.
- Optimized for fast execution to accelerate model training and experimentation.
- Suitable for AI research, production machine learning pipelines, and computer vision applications.
Albumentations on Ubuntu 26.04 provides developers, researchers, and data scientists with a reliable and ready-to-use environment for building, training, and deploying high-quality computer vision and deep learning solutions.
Highlights
- Fast and flexible Python image augmentation library for computer vision and deep learning applications.
- Preconfigured on Ubuntu 26.04 with Albumentations, OpenCV Headless, NumPy, and Python for rapid deployment and development.
- Supports image classification, object detection, semantic segmentation, and keypoint detection with customizable augmentation pipelines.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
t3.nano | $0.03 |
t3.medium | $0.03 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
t2.large | $0.03 |
r3.large | $0.03 |
r4.large | $0.03 |
Vendor refund policy
no Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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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 June/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 #mkdir -p ~/opy #cd ~/opy #python3 -m venv venv source venv/bin/activate #python -c "import jax; print(jax.version)"
Connect to your Linux instance using an SSH client - Amazon Elastic Compute Cloud Connect to your Linux instances using an SSH client.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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