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
Intel® Geti™ software streamlines the creation of computer vision models through efficient data annotation and training processes. It offers features such as intelligent annotations, active learning, and task chaining, allowing users to develop models for tasks like classification, object detection, and anomaly detection without needing to write extra code. Furthermore, the platform includes optimizations, hyperparameter tuning, and models that are ready for production and optimized for Intel’s OpenVINO™ toolkit. Intended to facilitate teamwork, Geti™ enhances collaboration by guiding teams through the entire model development lifecycle, from labeling data to deploying models effectively. This comprehensive approach ensures that users can focus on refining their models while minimizing technical hurdles.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon SageMaker
Yes
Amazon SageMaker Unified Studio
Yes
Intel Open Edge Platform
No
OpenVINO
No
ZenML
Yes
Integrations
Amazon SageMaker
No
Amazon SageMaker Unified Studio
No
Intel Open Edge Platform
Yes
OpenVINO
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)
No
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
Intel
Founded
1968
Country
United States
Website
www.intel.com/content/www/us/en/developer/tools/tiber/edge-platform/model-builder.html
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
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
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