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ease
features
design
support

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Description

Annotator is a versatile open source JavaScript library that simplifies the integration of annotation features into any webpage. Users can enhance their annotations with comments, tags, links, and user identifiers, among other capabilities. The library is crafted for straightforward extensibility, making it easy to implement new features or functionalities. Additionally, Annotator cultivates a vibrant community of developers across four continents, who contribute by creating third-party plugins that support annotation for PDFs, EPUBs, videos, images, audio, and beyond. Integrating annotations into a website is a breeze with Annotator; simply download the library and add it to your HTML. The platform boasts a robust plugin architecture, allowing developers to include additional features such as user permissions, tagging, filtering, and text formatting. Over a dozen projects depend on Annotator for their digital annotation requirements, many of which are open source. Furthermore, users can easily share their text and video annotations via social media or email, enhancing collaboration and engagement. Through its extensive capabilities, Annotator empowers users to enrich their online content with meaningful annotations.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HTML
JSON
JavaScript
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science

Integrations

HTML
JSON
JavaScript
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$0.0002 per 1,000 transactions
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Annotator

Website

annotatorjs.org

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

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

Product Features

Product 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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