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
Kern excels where other methods do not, facilitating data-driven applications across a wide array of industries and fields. Our solutions can be implemented entirely in-house, whether on public or private cloud infrastructures, or on-premises. At the heart of kern lies the innovative Weak Supervision technique, which allows for the automatic integration of noisy data heuristics, achieving a remarkable 100 times faster labeling speed. As we enhance your datasets with crucial metadata, this information can be prioritized and segmented, leading to significant time savings and improved quality. Kern is designed to involve subject matter experts throughout the AI development process, fostering collaboration to address real-world challenges effectively. Security remains our utmost concern, and we provide kern on various platforms, ensuring robust data protection, whether in the cloud or on-site. Our labeling solution is versatile and compatible with any JSON structure, enabling us to handle a diverse range of formats including CSV files, text documents, images, and even time series data. By adapting to these different formats, we ensure that our clients can maximize the utility of their data across different applications.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon SageMaker
Yes
Amazon SageMaker Unified Studio
Yes
ZenML
Yes
Integrations
Amazon SageMaker
No
Amazon SageMaker Unified Studio
No
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
Kern AI
Founded
2020
Country
Germany
Website
www.kern.ai/platform
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
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
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