What is Encord?
Encord is the leading data development platform for computer vision & multimodal AI teams, intelligently managing, cleaning, and curating data, streamlining labeling and workflow management, and evaluating model performance.
Features of Encord
- Annotate: Build and scale labeling workflows to create Ground Truth 10x faster
- Active: Monitor, troubleshoot, and evaluate the data and labels impacting model performance
- Index: Understand and manage visual data, prioritize data for labeling, and initiate active learning pipelines
- Supports various annotation types, including image, video, medical imagery, or geospatial data
- One-click automated labels leveraging state-of-the-art foundational models
- Customizable workflows, automated pipelines, and expert review
- Streamlining data operations with actionable dashboards
- On-demand expert labeling services
- Fine-tune foundational models to automate annotation
- Evaluate model performance with automatic reporting on metrics like mAP, mAR, and F1 Score
- Understand model blind spots and uncover edge-cases, underperforming clusters, underrepresented classes, and more
How to Use Encord
- Get started with the complete data development platform for AI model development
- Streamline data-centric AI pipelines to build better models and deploy high-quality production AI, faster
- Leverage Encord's annotation tools, active model testing, and data curation to accelerate labeling workflows and teams
- Integrate humans-in-the-loop seamlessly to accelerate training data creation with fully customizable workflows and expert review
- Monitor team and annotator performance with actionable dashboards to ensure training data quality
- Integrate active learning workflows to identify and label the data that boosts model performance
Pricing of Encord
- Contact Encord for pricing information and to book a demo
Helpful Tips for Using Encord
- Use Encord's automated labeling tools to accelerate labeling projects and build high-quality training data faster
- Leverage Encord's customizable workflows and automated pipelines to integrate humans-in-the-loop seamlessly
- Monitor team and annotator performance with actionable dashboards to ensure training data quality
- Integrate active learning workflows to identify and label the data that boosts model performance
Frequently Asked Questions about Encord
- What is Encord used for?
- Encord is used for building better models and deploying high-quality production AI, faster
- How does Encord work?
- Encord works by intelligently managing, cleaning, and curating data, streamlining labeling and workflow management, and evaluating model performance
- What are the benefits of using Encord?
- The benefits of using Encord include accelerating labeling workflows, improving model performance, and streamlining data-centric AI pipelines