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Average Ratings 0 Ratings
Description
OCI Data Labeling is a powerful tool designed for developers and data scientists to create precisely labeled datasets essential for training AI and machine learning models. This service accommodates various formats, including documents (such as PDF and TIFF), images (like JPEG and PNG), and text, enabling users to upload unprocessed data, apply various annotations—such as classification labels, object-detection bounding boxes, or key-value pairs—and then export the annotated results in line-delimited JSON format, which facilitates smooth integration into model-training processes. It also provides customizable templates tailored for different annotation types, intuitive user interfaces, and public APIs for efficient dataset creation and management. Additionally, the service ensures seamless interoperability with other data and AI services, allowing for the direct feeding of annotated data into custom vision or language models, as well as Oracle's AI offerings. Users can leverage OCI Data Labeling to generate datasets, create records, annotate them, and subsequently utilize the exported snapshots for effective model development, ensuring a streamlined workflow from data labeling to AI model training. Consequently, the service enhances the overall productivity of teams focusing on AI initiatives.
Description
Professionals engaged in the design, construction, and management of intricate, large-scale building projects and real estate portfolios greatly appreciate how SmartWorldPro simplifies the processes of data aggregation, visualization, querying, and analysis, turning them into an engaging experience. All relevant data and systems—including design elements, parcel details, legal documents, financial records, leasing information, work orders, energy consumption, maintenance logs, security details, and transaction histories—are accessible in a single, streamlined platform. This ease of data access is further enhanced by SmartWorldPro's offering of over one billion curated, geo-tagged urban context data layers, which encompass everything from open city information to paid data services and IoT inputs. The platform's annotation tools empower users to swiftly and effortlessly tag objects within a model using information sourced from various channels, while intuitive icons facilitate the identification of different objects and the generation of tailored reports. SmartWorldPro truly comes alive in this environment, providing users with an array of visualization options, such as diverse color palettes, preset objects, and base maps, allowing them to create scenes that reflect their unique preferences and requirements. Ultimately, this versatility encourages greater creativity and productivity among users in their respective projects.
API Access
Has API
API Access
Has API
Integrations
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science
Revit
SketchUp
Integrations
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science
Revit
SketchUp
Pricing Details
$0.0002 per 1,000 transactions
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/artificial-intelligence/data-labeling/
Vendor Details
Company Name
Cityzenith
Founded
2009
Country
United States
Website
cityzenith.com/smartworldpro-2/smartworldpro
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