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Description
Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.
Description
Understand.ai delivers innovative ground truth annotation technology to effectively manage complexity on a large scale. Their advanced annotation platform is crafted to tackle intricate ground truth annotation tasks, boasting a scalable infrastructure that can handle substantial data volumes and projects of any size with ease. It stands out in providing tailored data elevation and workflows, specifically designed to align with unique project requirements while emphasizing adherence to strict data privacy and security protocols. With user-friendly tools that facilitate smooth collaboration between clients and labeling partners, the automation features greatly minimize manual annotation tasks, thus making extensive ADAS/AD programs financially viable. Among its key attributes is multi-sensor integration, which allows for the seamless incorporation and processing of data from various LiDAR sensors, delivering an all-encompassing perspective of complex 3D environments and ensuring precise annotation. This combination of advanced technology and customized solutions positions Understand.ai as a leader in the annotation industry, ready to meet the evolving demands of its clients.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
ZenML
Integrations
Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
ZenML
Pricing Details
$0.08 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon Web Services
Founded
2006
Country
United States
Website
aws.amazon.com/es/sagemaker/data-labeling/
Vendor Details
Company Name
understand.ai
Founded
2017
Country
Germany
Website
understand.ai/technology
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management