Encord

Discover Encord, the leading platform for computer vision and AI data development, offering top-notch data management, annotation, and model evaluation tools.

Data Management Updated 21 minutes ago

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Encord's Top 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

Frequently asked questions about 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.

Encord supports a wide range of data types such as images, videos, medical imagery (DICOM & NifTI), geospatial data (Synthetic-aperture radar), and documents.

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.

Yes, Encord integrates humans-in-the-loop seamlessly to ensure high-quality training data creation with customizable workflows and expert review.

Encord’s main capabilities include annotation and workflow tools, model testing and evaluation, and data curation and management.

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.

Encord offers seamless filtering, searching, and visualization of data, and tools for building balanced datasets by identifying data outliers and underrepresented metrics.

Yes, Encord can scale projects by providing access to thousands of expert labelers, ensuring data quality without compromising on speed.

Encord integrates active learning workflows to help identify and prioritize data that will optimally boost model performance.

Clients praise Encord for its efficiency and scalability, noting that they are able to annotate large volumes of data in a relatively short period.