Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Segmentation is a technique employed in Print and Broadcast Media that has traditionally relied on manual methods. However, RUZIVO has transformed this practice by introducing automation through Machine Learning, which not only enhances precision but also significantly reduces both time and expenses. The Segmentation process developed by RUZIVO involves identifying the beginning and end markers of radio clips and images intended for Broadcast and Print. In this phase, it is assessed whether the content—be it an image, video, audio clip, or email—qualifies as an advertisement. Once classified as either Ads or non-Ads, various media formats are then cross-referenced with an archive to identify whether they are new or duplicates. This step is crucial, as duplicates are cataloged while new Ads are sorted into categories based on industry, type, and any other client-specific criteria. The automation of the Classification process by RUZIVO has significantly expedited the time it takes for clients to become aware of new advertisements in their chosen categories, resulting in a more streamlined workflow. Consequently, clients can now respond more swiftly to advertising trends and changes in their respective markets.
Description
For tasks such as transcription, data validation, classification, sentiment analysis, and more, UHRS offers comprehensive solutions tailored to your needs. We leverage human intelligence to enhance machine learning models, aiding you in overcoming some of your toughest challenges. Judges can conveniently access UHRS from anywhere at any time with just an internet connection. This streamlined access allows for quick engagement with tasks like video annotation within minutes. With UHRS, managing the classification of thousands of images becomes a straightforward and efficient process. Our platform enables the training of your products and tools through high-quality annotated image data, enhancing capabilities like image detection and boundary recognition. You can efficiently classify images, conduct semantic segmentation, and implement object detection. In addition, we facilitate audio-to-text validation, conversation analysis, and relevance checks. Furthermore, our services extend to sentiment identification for tweets, document classification, and various ad hoc data collection tasks, including information correction, moderation, and conducting surveys. With UHRS, you gain a versatile partner in navigating a wide range of data-related challenges.
API Access
Has API
No
API Access
Has API
No
Integrations
Clickworker
No
Pricing Details
No price information available.
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
Yes
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
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Data-Core Systems
Founded
1988
Country
United States
Website
www.ruzivomedia.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
prod.uhrs.playmsn.com/uhrs/
Product Features
Marketing Automation
A/B Testing
No
Analytics / ROI Tracking
No
Artificial Intelligence
No
Content / Blogging Platform
No
Customizable CTAs
No
Drip Campaigns
No
Dynamic Content
No
Landing Pages / Web Forms
No
Lead Scoring
No
Sales Intelligence
No
Search Marketing
No
Segmentation
No
Social Marketing
No
Website Visitor Tracking
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