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.
Trusted by pioneering AI teams
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.
70% reduction in annotation hours.
60% increase in labeling speed simplifying data pipelines.
20% increase in mAP leveraging data curation.
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.
Annotation tools
Access a range of labeling tools
Whatever your model requirements, choose our best-in-class labeling platform build by ML specialists.
“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
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.
![[object Object]](https://images.prismic.io/encord/65d87db93a605798c18c2781_buildCustom%404x.jpg?auto=format%2Ccompress&fit=max&w=2456&h=2444&fm=webp)
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.
![[object Object]](https://images.prismic.io/encord/65d87dba3a605798c18c2782_customPathways%404x.jpg?auto=format%2Ccompress&fit=max&w=2456&h=2444&fm=webp)
G2 reviews
Trusted by our customers
Still not sure? Read about what the customers think about our product.
“Pure gold, easily paying for itself through”
Getting Encord to just work with our pipeline was a walk in the park, and for the one odd time when we had to contact support, their team has been amazing and extremely friendly. The annotation tool itself is pure gold, easily paying for itself through increased productivity!
Andrei I, G2 reviewer
“Easy and quick to use to annotate”
Very robust annotation interface, easy to use, and quick to annotate lots of frames/visuals. I explored many, many annotation tools and I enjoy using Encord by far the most.
David F, G2 reviewer
“Easy to use training data platform for model validation”
Encord’s solution provides us with a comprehensive suite of tools to manage annotation workflows and teams that we use to validate the performance of our models and generate new data for training. Focusing our efforts on just annotation data for model failure cases has led to a large reduction in overall error rates.
Mike V, G2 reviewer
Multi-modal annotation
The future is multi-modal and the future is here. Capture human feedback at higher abstraction levels and map relationships between modalities with sophisticated labeling ontologies.
"Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted."
"It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control."
“Diving deep into the performance on a class-by-class basis allowed us to tackle some of the worst-performing classes and improve their performance based on insights from analysis of the datasets and models in Encord Active. ”
Explore other Encord products
Active
Find & fix data issues with ease
Monitor, troubleshoot, and evaluate the data and labels impacting model performance.
Index
Manage & curate your data
Understand and manage your visual data, prioritize data for labeling, and initiate active learning pipelines.
Take control of your ML pipeline with Encord
Level-up your model development with the Encord Data Engine. Turn unstructured data into production-ready AI in a fraction of the time without compromising quality.