Encord: AI Data Engine - Streamline Labeling, Curate Data, Validate Models

Understanding Encord

Encord is an all-in-one AI data engine designed to enhance the development of AI models. It equips advanced computer vision teams with the necessary tools and workflows to streamline the labeling process, manage workflows efficiently, clean and curate datasets, ensure high-quality labels, and evaluate model performance comprehensively.

Getting Started with Encord

Key Features of Encord

Annotation Tools & Workflow Management

Model Evaluation & Observability

Data Management & Curation

Applications of Encord

Creating Predictive Computer Vision Applications

Developing Generative Computer Vision Applications

• Support and Contact Information

  For more contact details, visit the contact us page.

• About Encord

  Company Name: Cord Technologies, Inc., Cord Technologies Limited.

  Learn more on the about us page.

• Encord Login

  Access Encord via the login page.

• Encord Pricing

  Check out the pricing details on the pricing page.

• Follow Encord on Twitter

  Stay updated with Encord on Twitter.

• Encord on Github

  Explore Encord's projects on Github.

Frequently Asked Questions

What is Encord?

Encord is an AI data engine that provides comprehensive tools and workflows for AI model development. It assists computer vision teams in streamlining labeling, managing workflows, curating data, validating labels, and evaluating model performance.

How to use Encord?

Begin by creating a project and uploading your visual datasets. Use the annotation and workflow management tools to label your data. After annotation, evaluate your models, curate your data, and enhance model performance using Encord's extensive toolset.

What types of visual data can be annotated in Encord?

Encord supports labeling across various computer vision modalities, including images, videos, medical imagery, geospatial data, and more.