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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 OCI Data Labeling?

OCI Data Labeling serves as a robust solution for developers and data scientists aiming to generate accurately labeled datasets that are crucial for training artificial intelligence and machine learning models. This versatile tool supports multiple formats, including documents like PDF and TIFF, images such as JPEG and PNG, and various text types, allowing users to upload raw data, apply a range of annotations—like classification labels, object-detection bounding boxes, or key-value pairs—and export the annotated outputs in line-delimited JSON format, which is beneficial for the model-training workflow. Additionally, it offers customizable templates specifically designed for different types of annotations, along with user-friendly interfaces and public APIs that streamline the process of dataset creation and management. The service also ensures smooth interoperability with other data and AI tools, permitting the direct integration of annotated data into custom vision or language models, alongside Oracle’s AI solutions. Users can efficiently utilize OCI Data Labeling to build datasets, create records, annotate them, and then use the exported snapshots for robust model development, guaranteeing a seamless transition from data labeling to AI model training. As a result, this service significantly boosts the productivity of teams engaged in AI projects, ultimately fostering more efficient workflows and innovative applications.

Media

No images available

Media

Integrations Supported

Cogito
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science

Integrations Supported

Cogito
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science

API Availability

Has API

API Availability

Has API

Pricing Information

$300/month/user
Free Trial Offered?
Free Version

Pricing Information

$0.0002 per 1,000 transactions
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

RedBrick AI

Date Founded

2021

Company Location

United States

Company Website

redbrickai.com

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/artificial-intelligence/data-labeling/

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Categories and Features

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

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