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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 CrowdAI?

Effectively manage the entire AI pipeline, starting from raw data and leading to its successful deployment. Create customized models that are closely aligned with your specific business requirements, granting you a competitive advantage in the industry. Build a diverse AI team that is capable of designing and implementing AI solutions with ease, eliminating the need for coding expertise. Deploy AI applications across a variety of environments, whether on a manufacturing site, in the realm of space exploration, or in any other context. Ensure a commitment to a robust platform that has proven its reliability in handling highly sensitive data. Take advantage of guided workflows to support you in developing your first model. Rather than dispersing enterprise data across multiple cloud services and hardware options, centralize all resources into a single, organized library that enhances user accessibility and discovery. This comprehensive approach not only simplifies processes but also amplifies the potential for innovation and efficiency throughout your organization. By focusing on integrating diverse technologies and fostering collaboration, you can further enhance the effectiveness of your AI initiatives.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$25 per 1,000 annotations

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/data-labeling

Company Facts

Organization Name

CrowdAI

Date Founded

2016

Company Location

United States

Company Website

www.crowdai.com/platform

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

Not specified

Image Annotation

Not specified

Video Annotation

Not specified

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