Data Annotation Platform logo
0(0 reviews)
Software Status:Active

About Data Annotation Platform

Labelbox provides a data annotation platform for creating training datasets across images, video, text, and audio. Teams can design labeling workflows, manage tasks, and run quality control with review steps and performance metrics. Collaboration tools support large labeling teams, while integrations with ML frameworks enable model training and iteration. The platform scales for enterprise data volumes and supports secure, compliant data handling. Key capabilities: Multi-modal annotation for image, video, text, and audio Workflow management and task assignment QA review and performance metrics Collaboration for distributed labeling teams Integrations with ML training stacks Best for: AI teams building high-quality labeled datasets.

Data Annotation Platform Details

Vendor
Labelbox
Year Launched
Location
San Francisco, California, USA
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Dutch, Italian
Users
Data Scientists, Machine Learning Engineers, Data Analysts, Research Scientists, AI Developers, Data Engineers
Industries Served
Healthcare, Education, Finance, Retail, Marketing
Tags
Artificial Intelligence, Data Annotation, Machine Learning, Image Annotation, Text Annotation, Video Annotation, Labeling Tool

Data Annotation Platform's In-App Market Place

Does Data Annotation Platform have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

7

Mini Apps

1. Amazon Mechanical Turk: A crowdsourcing platform that enables users to easily outsource data annotation tasks to a global workforce.

2. Scale AI: A data labeling service that provides high-quality annotations for training machine learning models.

3. CloudFactory: A data annotation platform that combines technology and human workers to efficiently label and validate data for AI applications.

4. SuperAnnotate: An annotation tool that streamlines the labeling process with features like auto-labeling

smart segmentation

and collaborative annotation.

5. LabelMe: An open-source data annotation tool that allows users to create and share annotated images for computer vision research.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (CN¥), SEK (SEK), INR (₹), SGD (S$), HKD (HK$), NZD (NZ$), KRW (₩), NOK (NOK), MXN (MX$), BRL (R$)

Pros & Cons

  • Allows for easy and efficient data annotation
  • Supports various types of data formats and annotations
  • Facilitates collaboration among annotators and project teams
  • Streamlines the annotation process with automation tools
  • Provides high-quality and accurate annotations for AI model training
  • Limited integrations with other tools and platforms
  • Steep learning curve for new users
  • Potential security concerns with storing sensitive data on the platform
  • Lacks advanced features for more complex annotation tasks
  • Pricing plans may be expensive for small businesses or individuals

Data Annotation Platform's Support Options

Data Annotation Platform's Alternatives