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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 Diffgram Data Labeling?

Your AI Data Platform Top-Notch Training Data for Businesses Data Annotation Software for Machine Learning Enjoy a free Kubernetes Cluster for up to 3 users RELIED ON BY 5,000 SATISFIED UBERS GLOBALLY Images, Videos, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Boxes, Polygons and Lines, Keypoints, Classification Tags, and More You have access to the precise spatial tool you require. Each tool is user-friendly, customizable, and provides robust options for data presentation, with all tools available in Video format. Attribute Tools Enhanced Meaning. Greater flexibility through: Radio buttons, Multiple selections, Date pickers, Sliders, Conditional logic, Directional vectors, and much more! Intricate knowledge can be captured and encoded into your AI systems, facilitating deeper insights. Streaming Data Automation Manual labeling can surpass automated labeling in speed by up to 10 times, significantly improving efficiency. Moreover, this rapid labeling process enhances project turnaround times, fostering quicker insights and development.

Media

Media

Integrations Supported

Apache Atlas
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Wyn Enterprise
bipp

Integrations Supported

AWS CloudFormation
Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
Labelbox
Microsoft Azure
Scale GenAI Platform
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$25 per 1,000 annotations

Pricing Information

Free
https://www.diffgram.com/pricing
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

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/data-labeling

Company Facts

Organization Name

Diffgram

Date Founded

2018

Company Location

Santa Clara CA

Company Website

www.diffgram.com

Categories and Features

AI Vision Models

Not specified

Computer Vision

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

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
SDK
Supports Audio Files
Team Collaboration

Image Annotation

Not specified

Image Recognition

Not specified

Video Annotation

Not specified

Categories and Features

Data Annotation

Not specified

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

Image Annotation

Not specified

Video Annotation

Not specified

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