Freemium

Advanced data management and annotation platform for multimodal datasets.

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Key Information

Key Features

  • Image & video annotation toolkit
  • Complex & dynamic ontologies
  • Customizable workflows
  • Self-serve support
  • AI-assisted labeling
  • Consensus workflows
  • RBAC & collaboration
  • Data management & curation
  • Model evaluation
  • Multiple workspaces
  • Single sign-on (SSO)
  • Enterprise SLA & support
  • Private cloud & on-premise

Pricing

  • Starter - Free
  • Team - Contact for pricing
  • Enterprise - Contact for pricing

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What is Encord?

Encord is a comprehensive multimodal AI data platform designed to streamline the process of annotating and managing data for AI model development. It supports a wide range of data types, including images, videos, audio files, documents, and DICOM files, making it versatile for various applications.

Encord's platform is built to enhance collaboration and efficiency in data annotation workflows. It offers advanced features like AI-assisted labeling and customizable workflows, which help teams build high-quality datasets quickly. The platform also supports complex ontologies and dynamic data management, making it suitable for large-scale AI projects.

Features

  • Image & video annotation toolkit: This feature allows users to annotate images and videos efficiently, which is crucial for developing computer vision models.
  • Complex & dynamic ontologies: Encord supports the creation of structured frameworks for categorizing data, enabling nested classification to produce granular datasets.
  • Customizable workflows: Users can develop workflows tailored to their specific data types and annotation needs.
  • Self-serve support: Encord provides support resources that users can access independently.
  • AI-assisted labeling: This feature automates parts of the annotation process, reducing manual effort and increasing efficiency.
  • Consensus workflows: Encord facilitates collaboration by enabling teams to work together on annotation tasks and reach consensus on labels.
  • RBAC & collaboration: Role-Based Access Control (RBAC) ensures that team members have appropriate permissions, enhancing collaboration and data security.
  • Data management & curation: The platform offers tools to manage and curate data effectively, ensuring that datasets are well-organized and ready for model training.
  • Model evaluation: Encord provides functionalities to assess and optimize model performance based on annotated data.
  • Multiple workspaces: This feature allows teams to organize their projects into separate workspaces for better management.
  • Single sign-on (SSO): Encord supports SSO for easier access and authentication.
  • Enterprise SLA & support: The platform offers dedicated support and service level agreements for enterprise users.
  • Private cloud & on-premise: Encord can be deployed on private clouds or on-premise environments for enhanced security and control.

Pros

  • Efficient annotation workflows: Encord's AI-assisted labeling and customizable workflows streamline the annotation process.
  • Advanced collaboration tools: Features like RBAC and consensus workflows enhance team collaboration.
  • Comprehensive data management: The platform offers robust data management and curation capabilities.
  • Flexible deployment options: Encord supports both cloud and on-premise deployments.
  • High-quality data output: Encord helps produce high-quality annotated datasets essential for AI model performance.

Cons

  • Complexity for beginners: The platform's advanced features might be overwhelming for new users.
  • Limited free version capabilities: The free version lacks some of the advanced features available in paid plans.

Encord Pricing

  • Starter - Free: Includes image & video annotation toolkit, complex & dynamic ontologies, customizable workflows, and self-serve support.
  • Team - Contact for pricing: Adds AI-assisted labeling, consensus workflows, RBAC & collaboration, data management & curation, and model evaluation.
  • Enterprise - Contact for pricing: Includes all Team features plus multiple workspaces, single sign-on (SSO), enterprise SLA & support, and private cloud & on-premise options.

Note: Prices are subject to change. Please check the official website for the most up-to-date prices.

Check Encord Official Pricing

Frequently Asked Questions

1. What functions does the freemium account of Encord offer?

The freemium account, or the Starter plan, offers basic features such as an image & video annotation toolkit, complex & dynamic ontologies, customizable workflows, and self-serve support. This plan is suitable for individuals or small teams starting with data annotation.

2. How does Encord compare to similar tools like Labelbox or Supervisely?

Encord is more comprehensive in terms of supporting multiple data types and offering advanced collaboration tools. While Labelbox focuses on cost efficiency and Supervisely provides AI-assisted labeling, Encord combines these strengths with its multimodal data support and customizable workflows.

3. What are the usage limits of the free version?

The free version does not have explicit usage limits in terms of data volume but lacks some advanced features like AI-assisted labeling available in paid plans.

4. Does Encord support multilingual and multiplatform use?

Encord does not explicitly mention multilingual support, but it is accessible via web browsers, making it multiplatform to some extent.

5. What are some outstanding features of Encord?

One of the standout features is its ability to handle multimodal data annotation, allowing users to annotate images, videos, audio files, and documents in a single interface. Additionally, Encord's AI-assisted labeling and customizable workflows enhance efficiency and collaboration.

6. How can Encord be used effectively for AI model development?

Encord can be used effectively by leveraging its AI-assisted labeling to automate parts of the annotation process, creating complex ontologies to ensure data consistency, and utilizing its collaboration tools to manage large-scale annotation projects efficiently.

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