Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Utilize data science to enhance traditional wisdom and promote equitable health outcomes for indigenous populations. Our goal is to connect the realms of research, healthcare, and data science seamlessly. We are working towards developing a comprehensive data science platform tailored for the medical and research sectors. By leveraging machine learning, generative AI, and advanced data science techniques, we aspire to transform these industries and make cutting-edge solutions available to you. Our platform will allow users to effectively manage, categorize, and analyze their visual data, automating image labeling, extracting meaningful insights, and generating synthetic datasets from your contributions. Features for bias detection and fostering community collaboration will be introduced in the near future. Additionally, we are committed to creating a solution that promotes social good, as we focus not only on bridging the technological accessibility gap but also on ensuring that our models are devoid of the algorithmic biases that often plague technological advancements. This endeavor is not just about technology; it's about empowering communities and fostering equitable health outcomes for all.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon SageMaker
Yes
Amazon SageMaker Unified Studio
Yes
Kota
No
ZenML
Yes
Integrations
Amazon SageMaker
No
Amazon SageMaker Unified Studio
No
Kota
Yes
ZenML
No
Pricing Details
$0.08 per month
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon Web Services
Founded
2006
Country
United States
Website
aws.amazon.com/es/sagemaker/data-labeling/
Vendor Details
Company Name
Sanitas AI
Country
United States
Website
www.sanitas.ai/
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No