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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

OCI Data Labeling is a powerful tool designed for developers and data scientists to create precisely labeled datasets essential for training AI and machine learning models. This service accommodates various formats, including documents (such as PDF and TIFF), images (like JPEG and PNG), and text, enabling users to upload unprocessed data, apply various annotations—such as classification labels, object-detection bounding boxes, or key-value pairs—and then export the annotated results in line-delimited JSON format, which facilitates smooth integration into model-training processes. It also provides customizable templates tailored for different annotation types, intuitive user interfaces, and public APIs for efficient dataset creation and management. Additionally, the service ensures seamless interoperability with other data and AI services, allowing for the direct feeding of annotated data into custom vision or language models, as well as Oracle's AI offerings. Users can leverage OCI Data Labeling to generate datasets, create records, annotate them, and subsequently utilize the exported snapshots for effective model development, ensuring a streamlined workflow from data labeling to AI model training. Consequently, the service enhances the overall productivity of teams focusing on AI initiatives.

Description

Understand.ai delivers innovative ground truth annotation technology to effectively manage complexity on a large scale. Their advanced annotation platform is crafted to tackle intricate ground truth annotation tasks, boasting a scalable infrastructure that can handle substantial data volumes and projects of any size with ease. It stands out in providing tailored data elevation and workflows, specifically designed to align with unique project requirements while emphasizing adherence to strict data privacy and security protocols. With user-friendly tools that facilitate smooth collaboration between clients and labeling partners, the automation features greatly minimize manual annotation tasks, thus making extensive ADAS/AD programs financially viable. Among its key attributes is multi-sensor integration, which allows for the seamless incorporation and processing of data from various LiDAR sensors, delivering an all-encompassing perspective of complex 3D environments and ensuring precise annotation. This combination of advanced technology and customized solutions positions Understand.ai as a leader in the annotation industry, ready to meet the evolving demands of its clients.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 
JSON Yes 
Microsoft Azure No 
Oracle AI Agent Platform Yes 
Oracle Cloud Infrastructure Yes 
Oracle Data Science Yes 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
JSON No 
Microsoft Azure Yes 
Oracle AI Agent Platform No 
Oracle Cloud Infrastructure No 
Oracle Data Science No 

Pricing Details

$0.0002 per 1,000 transactions
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

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

Vendor Details

Company Name

understand.ai

Founded

2017

Country

Germany

Website

understand.ai/technology

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

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