Encord Annotate

Best in-class labeling tools to create high-quality training data

Leverage state-of-the-art model-assisted labeling and customizable workflows to accelerate labeling projects and build production-ready models, faster.

Why Encord?

Join thousands of ML practitioners deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.

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70% reduction in annotation hours.

Read Rapid AI’s story
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60% increase in labeling speed simplifying data pipelines.

Read Conxai’s story
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20% increase in mAP leveraging data curation.

Read Automotus’ story

annotation types

Supporting your labeling needs

Efficiently label any computer vision modality across image, video, medical imagery, or geospatial data and choose from a variety of tools to meet your annotation needs.

Explore all annotation types

Annotation tools

Access a range of labeling tools

Whatever your model requirements, choose our best-in-class labeling platform build by ML specialists.

Read our docs
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Accelerate annotation projects with model-assisted labeling
Scale your labeling projects at the speed of AI. Create pixel-perfect masks in a single click and dramatically reduce labeling hours on datasets. Leverage custom or state-of-the-art foundational models available within the Encord annotation suite.
Bring your own model
Integrate your own custom-built models to use in labeling workflows.
Leverage foundational models
Fine-tune Meta’s Segment Anything Model (SAM) to create high-quality labels in seconds.
Train micro-models
Train models using few-shot learning to auto-annotate large amounts of data.

“20%

increase in mAP building active learning pipelines”

We now have an integrated, one-stop solution where we can manage our data and also understand our model performance – and the errors and issues where the models are not performing well – and create the feedback mechanisms to improve our models and data.

Prajwal Kotamraju,

Co-Founder and Head of Computer Vision @ Automotus

Read customer story

Workflows

Customizable workflows, automated pipelines

Integrate humans-in-the-loop seamlessly to accelerate training data creation by leveraging workflow templates or fully customizing workflows and expert review to suit your project needs.

Encord workflow

Build custom workflows with no-code

Add desired stages to your labeling workflow. Select from annotate, review, consensus, webhooks, and various routers to configure your workflows.

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Ensure label accuracy with Consensus

Compare annotations between labellers and establish accepted thresholds that determine approved or 
rejected labels.

Custom pathways with advanced routers

Create specific pathways for any labeling instances. Leverage annotator-specific routing, label-specific routing, or weighted routing to suit your needs.

Complexity made simple
Nested ontologies
Build relationship structures in your data schema to improve model output.
Complexity made simple