Encord

Data Management

Encord

The Ultimate Data Development Platform for AI & Computer Vision Teams

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About Encord

Encord is the leading data development platform for computer vision & multimodal AI teams. It intelligently manages, cleans, and curates data, streamlines labeling and workflow management, and evaluates model performance. Efficiently label any computer vision modality across image, video, medical imagery, or geospatial data. Choose from a variety of tools to meet your annotation needs, including image, video, DICOM & NifTI, Synthetic-aperture radar, and documents. Leverage state-of-the-art foundational models to accelerate labeling projects and build high-quality training data faster. Integrate humans-in-the-loop seamlessly to accelerate training data creation with customizable workflows and expert review.

Key Features

  • Efficient labeling for various data types including image, video, and medical imagery
  • Automated labeling with foundational models
  • Customizable workflows and human-in-the-loop integration
  • Advanced model testing and evaluation tools
  • Comprehensive data curation and management
  • Support for synthetic-aperture radar and geospatial data
  • Robustness and regression testing for model evaluation
  • Access to thousands of expert labelers
  • Actionable dashboards for performance monitoring
  • Active learning workflow integration

Tags

AIcomputer visiondata managementvisual datalabelingmodel performanceanalytical toolsworkflow managementdata visualizationactive learninghumans-in-the-loop

FAQs

What is Encord?
Encord is a leading data development platform specifically designed for computer vision and multimodal AI teams, managing, cleaning, and curating visual data for improved model training and evaluation.
What types of data does Encord support?
Encord supports a wide range of data types such as images, videos, medical imagery (DICOM & NifTI), geospatial data (Synthetic-aperture radar), and documents.
How does Encord improve annotation efficiency?
Encord offers a variety of tools for annotating different types of data and leverages automated labeling with state-of-the-art foundational models, enhancing labeling speed and accuracy.
Can Encord integrate human input into the labeling process?
Yes, Encord integrates humans-in-the-loop seamlessly to ensure high-quality training data creation with customizable workflows and expert review.
What are the main capabilities of the Encord platform?
Encord’s main capabilities include annotation and workflow tools, model testing and evaluation, and data curation and management.
How does Encord help with model evaluation?
Encord allows monitoring, troubleshooting, and evaluating the data and labels affecting model performance, and supports robustness and regression tests to uncover failure modes in AI models.
What features does Encord offer for data management?
Encord offers seamless filtering, searching, and visualization of data, and tools for building balanced datasets by identifying data outliers and underrepresented metrics.
Can Encord handle large-scale projects?
Yes, Encord can scale projects by providing access to thousands of expert labelers, ensuring data quality without compromising on speed.
How does Encord support active learning workflows?
Encord integrates active learning workflows to help identify and prioritize data that will optimally boost model performance.
What do clients say about Encord?
Clients praise Encord for its efficiency and scalability, noting that they are able to annotate large volumes of data in a relatively short period.