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What is RedBrick AI?

RedBrick AI operates as a swift collaborative platform aimed at the annotation of medical data, tailored to aid healthcare AI teams in developing high-quality training datasets for various radiological images such as CT, MRI, X-ray, Ultrasound, Fluoroscopy, and other standard imaging modalities. The platform excels in handling complex processes, including multi-series annotations and extensive DICOM studies, due to its seamless integration with medical data formats like DICOM and NIfTI. Additionally, it features advanced, user-friendly 2D and 3D web-based annotation tools along with a PACS-like viewer. RedBrick AI accommodates a diverse range of annotation applications, such as instance and semantic segmentation, landmark identification, classification, and ROI measurements, significantly speeding up the annotation process by up to 60%. This remarkable boost in efficiency not only streamlines workflows but also allows healthcare professionals to dedicate more time to patient care instead of tedious data preparation tasks. In a field where time is crucial, such enhancements can greatly impact overall healthcare delivery and outcomes.

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.

Media

No images available

Media

Integrations Supported

Cogito

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

$300/month/user
Free Trial Offered?

Pricing Information

$25 per 1,000 annotations

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

RedBrick AI

Date Founded

2021

Company Location

United States

Company Website

redbrickai.com

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/data-labeling

Categories and Features

Data Annotation

Not specified

Healthcare AI

Not specified

Medical Imaging

Not specified

Ultrasound

Not specified

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

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