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v1.0
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v1.0HomeWeb-App documentationSDK recipesSDK tutorialsRelease notes

General

  • Introduction to Encord
  • Guidelines for optimal performance
  • Vulnerability disclosure programme
  • SDK documentation
  • Single Sign On (SSO) support
  • Video tutorials

Annotate

  • Overview of Encord Annotate
  • Getting started with Encord Annotate
    • Navigating the app
    • Creating an account
    • Glossary
  • Datasets
    • Creating datasets
    • Working with datasets
    • Private cloud integration
    • Supported data
  • Ontologies
    • Working with ontologies
  • Projects
    • Annotation projects
    • Training projects
    • Workflows (Beta)
    • Quality assurance
    • Exporting data from Encord
    • Task management
  • Label editor
    • Images
    • Videos & image sequences
    • DICOM
    • Mammography
  • Automated labeling
    • Object tracking
    • Interpolation
    • Segment anything model (SAM)
  • Encord Annotate API
    • Working with datasets (API)
    • Working with ontologies (API)
    • Working with labels (API)
    • Working with projects (API)
    • Working with models (API)
  • User area
    • Organizations
    • Activity log
  • Settings
    • Notifications
    • Public keys
  • Data integrations
    • AWS S3
    • GCP storage
    • Azure blob
    • Open Telekom Cloud
    • Direct access
  • Frequently Asked Questions
  • Encord SDK

Active

  • Overview of Encord Active
  • Getting started with Encord Active
  • Installation
  • Import
    • Quick import data & labels
    • Import Encord annotation project
    • Import a COCO project
    • Import model predictions
  • User guide
    • Filtering
    • Tagging
    • Relabeling
  • Workflows
    • Exploring data and label distributions
    • Exploring image similarity
    • Exploring embedding plots
    • Removing duplicate images
  • Active learning
    • Acquisition functions
    • In Encord
  • Tutorials
    • Easy active learning on MNIST
    • Touring the COCO Sandbox dataset
    • Touring the Quickstart dataset
    • Running Diversity Based Acquisition Function on Unlabeled Data
  • Command line interface
  • Quality metrics
    • Data quality metrics
    • Label quality metrics
    • Model quality metrics
    • Writing custom quality metrics
  • Python SDK
    • Project initialization
    • Quality metric execution
    • Tagging
    • Filtering
    • Import predictions
    • Custom embeddings
  • Contributing
  • Frequently asked questions
  • Known issues

Apollo

  • Overview of Encord Apollo
  • Micro models
    • Instance segmentation
    • Object detection
    • Classification
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Workflows

Suggest Edits

Use the links below learn about workflows for improving your data, labels, and models.

  • Exploring data and label distributions.
  • Exploring image similarity.
  • Exploring embedding plots.
  • Removing duplicate images.

Updated 3 days ago