Sold by: Intel
Deployed on AWS
Build computer vision models in a fraction of the time and with less data.
Overview
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Data Collection
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Data Labeling
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Model Testing
Start building computer vision models in a fraction of the time and with less data. Intel® Geti™ eases laborious data labeling, model training and optimization tasks across the AI model development process, empowering everyone to build OpenVINO optimised computer vision models suitable for deployment at scale. Intel® Get™ provides you with an end-to-end workflow to prepare state-of-the-art computer vision models in minutes. With the interactive model training flow, you can get started with as little as 20-30 images or videos: by using Active Learning, Intel® Geti™ will help you teach the model as it incrementally learns from your data.
Highlights
- Interactive Model Training: Get started annotating data with as few as 20 to 30 images, and then let active learning help you teach the model as it learns.
- Smart Annotations: Expedite data annotation and easily segment images with professional drawing features like a pencil, a polygon tool, OpenCV GrabCut, and AI models such as the Segment Anything Model.
- Production-Ready Models: Output deep learning models in TensorFlow* or PyTorch* formats (where available) or as an optimized model for the OpenVINO toolkit to run on Intel architecture CPUs, GPUs, and VPUs.
Details
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Delivery method
Delivery option
64-bit (x86) HAQM Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Dimension | Cost/hour |
|---|---|
g4dn.8xlarge Recommended | $0.00 |
g4dn.12xlarge | $0.00 |
g4dn.16xlarge | $0.00 |
Vendor refund policy
It is Free!
Legal
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Delivery details
64-bit (x86) HAQM Machine Image (AMI)
HAQM Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. HAQM 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
State-of-the-Art Detection Model: Introducing the D-fine detection model, a breakthrough in object detection technology. Now integrated into Intel Geti, it's ready for fine-tuning to meet your specific needs.
U-flow Anomaly Detection: Elevate your anomaly detection workflows with the U-flow distribution map-based model, now part of Intel Geti. Explore this advanced training option for unparalleled anomaly detection capabilities.
Interactive OpenAPI documentation: Discover and explore Intel Geti API endpoints directly within our user interface, thanks to the integration of the Scalar reference API component. This feature allows you to experiment with API requests in your browser, making it easier than ever to understand and utilize our API capabilities. Access the OpenAPI specification by visiting /rest-api/openapi-specification.
Additional details
Usage instructions
- Connect to the instance using SSH
- Navigate to cd ~/geti/platform_2.10.0 directory
- Run sudo ./platform_installer uninstall. This clears the required directories for install.
- Run sudo ./platform_installer install
- During the installer, use /data as the dataset location
- Connect to the instance web interface to login with your username and password
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 HAQM Web Services.
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