Sold by: Waltsoft Inc.
Deployed on AWS
Free Trial
Self-hosted data annotation platform for AI/ML. Label text, images, audio, video, and time series. Build training datasets for NLP, computer vision, and LLM fine-tuning.
Overview
Self-hosted data annotation platform for AI/ML. Label text, images, audio, video, and time series. Build training datasets for NLP, computer vision, and LLM fine-tuning.
SECURITY: This AMI binds services to localhost only. Configure a reverse proxy (Nginx/Caddy) with HTTPS for production access. Change all default passwords immediately after launch.
Highlights
- Multi-type labeling: text, images, audio, video, HTML, time series
- Pre-built templates for NER, classification, object detection, transcription
- ML-assisted labeling with active learning and model predictions
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/hour |
|---|---|---|
t3.large Recommended | t3.large instance | $0.035 |
t3.medium | t3.medium instance | $0.035 |
m5.large | m5.large instance | $0.035 |
r5.large | r5.large instance | $0.035 |
m5.xlarge | m5.xlarge instance | $0.035 |
Vendor refund policy
No refunds after free trial.
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
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Initial release
Additional details
Usage instructions
SSH as ubuntu. On first boot, Docker images are pulled automatically (2-5 min). App available on port 8080.
Support
Vendor support
Community support via GitHub.
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.
Similar products
H2O.ai provides complete AI convergence across Predictive AI, Generative AI, and Agentic AI, offering a comprehensive AI tech stack that empowers you to build and secure your own AI workflows and solutions.
Our end-to-end SaaS AI platform is a fully managed cloud-native solution, delivering seamless scalability, robust security, and enterprise-grade performance. With H2O AI Cloud, you own every part of your AI stack - your data, your prompts, and your models - ensuring full control, privacy, and security over your AI initiatives.
H2O.ai provides a comprehensive, end-to-end AI toolchain that empowers you to build your own AI platform. Our GenAI platform is designed for air-gapped environments, on-premises infrastructures, or cloud VPC deployments. With H2O.ai, you own every part of the stack—your data, your prompts, and your AI models—you have complete control and security over your AI initiatives.
Find label errors in any classification dataset (text and tabular/CSV datasets supported)
Quadrant Technologies provides a full suite data annotation and labeling services to enhance the model accuracy and efficiency of your AI/ML models. We bring skills and expertise across a number of AI/ML use cases, data/content types, labeling tools and languages.
Quadrant Technologies provides a full suite data annotation and labeling services to enhance the model accuracy and efficiency of your AI/ML models. We bring skills and expertise across a number of AI/ML use cases, data/content types, labeling tools and languages.
Our core data labeling capabilities include:
3D Point Cloud: Object Detection, Object Tracking, Semantic Segmentation
Video: Object Detection, Object Tracking, Clip Classification
Images: Image Classification, Object Detection, Semantic Segmentation
Text: Text Classification, Named Entity Recognition
Audio: Transcription, Translation
CapeStart offers data collection, curation, cleaning, and labeling services by dedicated, fully employed analysts. Our team has experience in all types of data including text, images, audio, and video. Leveraging CapeStart will free your data scientists and engineers from doing routine data tasks.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.