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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.

What is Labellerr?

Labellerr serves as a cutting-edge data annotation platform designed to simplify the development of high-quality labeled datasets that are crucial for artificial intelligence and machine learning initiatives. It supports a diverse range of data types, including but not limited to images, videos, text, PDFs, and audio, catering to a variety of annotation needs. By incorporating automated functionalities such as model-assisted labeling and active learning, the platform significantly accelerates the labeling process and boosts efficiency. Additionally, Labellerr integrates advanced analytics and smart quality assurance mechanisms to ensure that the annotations are both accurate and trustworthy. For projects requiring specialized knowledge, it offers expert-in-the-loop services, connecting users with professionals in fields like healthcare and automotive to guarantee exceptional outcomes. This all-encompassing strategy not only streamlines data preparation but also fosters confidence in the accuracy and reliability of the labeled datasets that are generated. Ultimately, Labellerr empowers organizations to harness the full potential of their data through superior annotation solutions.

Media

Media

Integrations Supported

JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$0.0002 per 1,000 transactions
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

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
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

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

Company Facts

Organization Name

Labellerr

Date Founded

2022

Company Location

United States

Company Website

www.labellerr.com

Categories and Features

Data Annotation

Not specified

Data Labeling

Not specified

Categories and Features

AI Fine-Tuning

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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