labelgrid

Labelgrid

Labelgrid is a cloud-based document labeling and data annotation platform. It allows teams to quickly label documents, images, audio and video to create high-quality AI training data. Key features include collaboration tools, supported labeling types like bounding boxes and polyg
document-labeling data-annotation image-labeling audio-labeling video-labeling ai-training-data

Labelgrid: Cloud-Based Document Labeling Platform

Cloud-based document labeling and data annotation platform for creating high-quality AI training data with collaboration tools, supported labeling types, and data security.

What is Labelgrid?

Labelgrid is a cloud-based data labeling and annotation platform used to create training data for machine learning models. It allows teams to collaborate on labeling all types of data including documents, images, audio, and video. Key features and benefits of Labelgrid include:

  • Intuitive graphical interface to label data like text, images, bounding boxes, segmentation masks, polygons, landmarks, audio transcription and more.
  • Real-time collaboration allowing multiple labelers to work on the same dataset simultaneously.
  • Tools to create labeling workflows, quality assurance checks, and manage large numbers of human labelers.
  • Security features like data encryption, access controls and auditing to ensure privacy and data governance.
  • APIs and integrations with data storage providers as well as popular machine learning frameworks like TensorFlow, PyTorch, and more.
  • Dedicated support team and detailed documentation to help users get started quickly.

Overall, Labelgrid combines an easy-to-use and flexible labeling interface with enterprise-grade security and collaboration features. This makes it well-suited for organizations looking to outsource data annotation or set up in-house data labeling teams to create customized datasets for machine learning.

Labelgrid Features

Features

  1. Cloud-based platform
  2. Document, image, audio and video labeling
  3. Collaboration tools
  4. Bounding boxes and polygon segmentation
  5. Data security and access controls

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Quick and easy labeling

Collaboration features

Supports many data types

Powerful labeling capabilities

Cons

Can be expensive for large teams/datasets

Limited integrations compared to some competitors

Less customizable than open source options


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