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What is Hive Data?

Create training datasets for computer vision models through our all-encompassing management solution, as we recognize that the effectiveness of data labeling is vital for developing successful deep learning applications. Our goal is to position ourselves as the leading data labeling platform within the industry, allowing enterprises to harness the full capabilities of AI technology. To facilitate better organization, categorize your media assets into clear segments. Use one or several bounding boxes to highlight specific areas of interest, thereby improving detection precision. Apply bounding boxes with greater accuracy for more thorough annotations and provide exact measurements of width, depth, and height for a variety of objects. Ensure that every pixel in an image is classified for detailed analysis, and identify individual points to capture particular details within the visuals. Annotate straight lines to aid in geometric evaluations and assess critical characteristics such as yaw, pitch, and roll for relevant items. Monitor timestamps in both video and audio materials for effective synchronization. Furthermore, include annotations of freeform lines in images to represent intricate shapes and designs, thus enriching the quality of your data labeling initiatives. By prioritizing these strategies, you'll enhance the overall effectiveness and usability of your annotated datasets.

What is Google Cloud Video AI?

Sophisticated video analysis systems are capable of recognizing more than 20,000 distinct objects, places, and activities within video footage. These technologies facilitate the extraction of detailed metadata at various levels, whether looking at the entire video, individual shots, or specific frames. Through AutoML Video Intelligence, users can create custom entity labels, allowing for a personalized experience tailored to specific needs. In addition, the technology provides near real-time insights by utilizing streaming video annotation along with triggers based on object detection. This functionality not only enables the development of engaging customer experiences through highlight reels and tailored recommendations but also applies to both archived and live video streams. Users can perform searches within their video libraries akin to traditional document searches, making it simpler to find specific content. The comprehensive metadata that is extracted allows for effective indexing, organization, and filtering of video assets, ensuring that the most relevant pieces are easily accessible. By harnessing these advanced features, organizations can optimize their use of video data, ultimately improving their operations and fostering deeper engagement with their audiences. This advancement in video analytics technology marks a significant step toward smarter, more efficient content management strategies.

Media

Media

Integrations Supported

Apache Atlas
BOSCO
Google Cloud AutoML
Google Cloud Platform
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Unremot
Wyn Enterprise
bipp

Integrations Supported

Apache Atlas
BOSCO
Google Cloud AutoML
Google Cloud Platform
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Unremot
Wyn Enterprise
bipp

API Availability

Has API

API Availability

Has API

Pricing Information

$25 per 1,000 annotations
Free Trial Offered?
Free Version

Pricing Information

$0.10 per minute
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/hive-data

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/video-intelligence

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

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

Categories and Features

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