Labellerr

Labellerr

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What is Labellerr?

Labellerr is an innovative data labeling solution powered by AI that optimizes the labeling process for AI teams. Our technology utilizes automated annotation, advanced analytics, and smart quality assurance to label millions of images and hours of videos in a matter of weeks. With seamless integration support, Labellerr streamlines the computer vision AI infrastructure, significantly reducing preparation time.

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Company Details

Company Name : Labellerr
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Key Features of Labellerr

  • Automated Labeling
  • Customizable Workflows
  • Quality Control
  • Collaboration Tools
  • Data Augmentation
  • Multi Format Support
  • Real Time Analytics
  • Scalability
  • Integration With Ml Tools
  • User Management
  • Annotation Tools
  • Pre Labeling
  • Data Security
  • Api Access
  • Task Management
  • Model Training
  • Feedback Loop
  • Version Control
  • Cloud Storage
  • Cross Platform Compatibility
  • Help Desk
  • Artificial Intelligence
  • Chatbot
  • Annotations
  • Content Moderation
  • Deep Learning
  • Machine Learning
  • Neural Network Modeling
  • Computer Based Test
  • Data Classification
  • Image Recognition
  • Imaging
  • Natural Language Processing
  • Speech Analytics
  • Iot (internet Of Things) Integration
  • Iot Integration

Specifications

Run On Mobile Browser : Yes
Available Support : Email,Phone
Languages Available : English
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Labellerr FAQ's

The top 5 features of Labellerr include:

  • Automated Labeling
  • Customizable Workflows
  • Quality Control
  • Collaboration Tools
  • Data Augmentation

Labellerr supports a variety of platforms including: Email, Phone.

Labellerr serves a wide range of businesses including StartUps.

The top three competitors of Labellerr are Superb AI, Ango Hub and Kili Technology. To find the best fit for your business, compare and evaluate each platform's features, advantages, disadvantages, and other key aspects.

Labellerr is available exclusively in English, providing a streamlined experience for English-speaking users.

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