Ango Hub Reviews & Ratings

Ango Hub

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 3 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 4.5 out of 5 stars
support 5 out of 5 stars

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What is LabelMe?

LabelMe is designed as a web-based platform that enables users to annotate images, thereby assisting in the development of image databases vital for research in the field of computer vision. Through its annotation tool, users can play an integral role in expanding this growing database. Images can be arranged into organized collections, and users have the option to create nested collections similar to traditional folder structures. When downloading their database, users will find that the arrangement of collections mirrors this folder organization. Additionally, users can upload their images to these collections and annotate them using the LabelMe tool. There are also unlisted collections that can be accessed by anyone with the specific URL, even though they remain hidden from public view. Ultimately, LabelMe strives to make both images and annotations freely available to the research community, promoting collaboration and fostering innovation. This dedication to open access underscores the significance of shared resources in propelling advancements in computer vision research, while also encouraging diverse contributions from various users.

What is Ango Hub?

Ango Hub serves as a comprehensive and quality-focused data annotation platform tailored for AI teams. Accessible both on-premise and via the cloud, it enables efficient and swift data annotation without sacrificing quality. What sets Ango Hub apart is its unwavering commitment to high-quality annotations, showcasing features designed to enhance this aspect. These include a centralized labeling system, a real-time issue tracking interface, structured review workflows, and sample label libraries, alongside the ability to achieve consensus among up to 30 users on the same asset. Additionally, Ango Hub's versatility is evident in its support for a wide range of data types, encompassing image, audio, text, and native PDF formats. With nearly twenty distinct labeling tools at your disposal, users can annotate data effectively. Notably, some tools—such as rotated bounding boxes, unlimited conditional questions, label relations, and table-based labels—are unique to Ango Hub, making it a valuable resource for tackling more complex labeling challenges. By integrating these innovative features, Ango Hub ensures that your data annotation process is as efficient and high-quality as possible.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
Azure Blob Storage
Azure Databricks
Google Cloud AI Infrastructure
Snowflake

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free version allows users to invite up to 5 people and annotate 10k assets. Paid Cloud version allows for unlimited assets, with a charge for every 5 users. For on-premise installation contact us for pricing.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

LabelMe

Company Website

labelme.csail.mit.edu/Release3.0/

Company Facts

Organization Name

iMerit

Date Founded

2013

Company Location

Silicon Valley

Company Website

imerit.ai/products/ango-workflow-automation-by-imerit/

Categories and Features

Image Annotation

Not specified

Categories and Features

AI Fine-Tuning

Not specified

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation

Computer Vision

Blob Detection & Analysis
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration

Data Annotation

Not specified

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

Image Annotation

Not specified

LLM Evaluation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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