Image

Label images 10x faster with

Encord's AI-assisted tool

Create high-quality training data up to 10x faster with the most advanced image labeling tool.

Powering the world's leading AI teams

Logo
Logo
Tractable new logo
Voxel Logo
CedarsSuniai
Iterative Health
Stanford Medicine logo
Flock safety logo
Philips Logo - coloured
Logo
Logo
Tractable new logo
Voxel Logo
CedarsSuniai
Iterative Health
Stanford Medicine logo
Flock safety logo
Philips Logo - coloured

Lightning fast

Pixel-perfect labeling at the speed of AI

Experience an advanced, lightning-fast label editor with powerful automation capabilities to accelerate your labeling workflows.

Segment Anything, instantly

Create pixel-perfect segmentation masks by leveraging state of the art automated labeling capabilities powered by Meta AI’s Segment Anything Model.

cell_image

A suite of labeling tools to suit your needs

Encord supports a range of labeling options such as bounding box, rotatable box, polygons, polylines, keypoints, and classifications to support your model requirements.

cell_image

Accelerate with models-in-the-loop

Bring your own model to the Encord platform with no fuss, pre-label datasets, and seamlessly review and correct annotations to create high-quality training data faster.

Testimonial

What our clients say

Profile

Prajwal Kotamraju

Co-Founder and Head of Computer Vision @ Automotus

“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.”

Read case study

Built for scale

Effectively supporting datasets of 1,000 or 10,000,000 images

Scale your labeling workflows in one user friendly tool.

feature raphael card image
Build truly balanced datasets with ease
Filter and slice datasets in a consolidated visual explorer and export for labeling in one click. Encord supports deep search, filtering, and metadata analysis.
feature raphael card image
Rich knowledge structures enhance model context
Build nested relationship structures in your data schema to improve the quality of your model output.
feature raphael card image
Bulk classifications
Leverage natural language or similarity search to select large datasets and label en masse, queue for review to drastically accelerate labeling operations.

Seamless collaboration

A truly collaborative experience

Communication between ML and labeling teams has never been easier.

feature raphael card image
Build reliable quality control workflows
Build robust workflows with multi-step review stages, now with consensus.
feature raphael card image
Find & fix label errors
Automatically surface labeling errors to shift your attention to the labels that are impacting model performance.
feature raphael card image
Collaborate with teams of all sizes
Seamlessly control user roles with permissioning, manage task assignment, and infinitely scale your MLOps workflows.
avatar

60% increase in labeling speed simplifying data pipelines 📈

Markus Kittel
AI Product Development Manager
avatar

20% increase in mAP building active learning pipelines 📈

Prajwal Kotamraju
Co-Founder and Head of CV
avatar

70% reduction in annotation hours ⏰

Dr.James Ryan Mason
Neuroradiologist

security-first

Enterprise-grade security as standard

Your data is important to us. That’s why we deploy enterprise-grade security measures to ensure you retain total control of your data.

feature dali card image
Programmatically control your workflows
feature dali card image
SOC2, GDPR, & HIPAA compliant
feature dali card image
Secure native cloud integrations, always up-to-date

Testimonial

Trusted by leading AI teams

avatar
Prajwal KotamrajuAutomotus

We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.

avatar
avatar
Dr. James Ryan MasonRapidAI

Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.

avatar
avatar
Markus KittelConxai

With other labeling tools, we needed to integrate another tool for data management and exploration capabilities, but Encord combined the two needs and provided a single comprehensive solution, along with excellent customer care and support.

avatar
avatar
Camilla GilrchristTractable

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.

avatar
avatar
Maayan GerbiViz.ai

We plan on leveraging Encord to expand the range of use cases and include more medical conditions in our solutions... We are excited about our potential with Encord and look forward to seeing how we will evolve together

avatar
avatar
Prajwal KotamrajuAutomotus

We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.

avatar
avatar
Dr. James Ryan MasonRapidAI

Encord’s DICOM annotation tool captures the shape of the pathology, interpolating the label on the slices the annotators skipped. In a case with 100 slices, annotators only have to label about 30 images.

avatar
avatar
Markus KittelConxai

With other labeling tools, we needed to integrate another tool for data management and exploration capabilities, but Encord combined the two needs and provided a single comprehensive solution, along with excellent customer care and support.

avatar
avatar
Camilla GilrchristTractable

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.

avatar
avatar
Maayan GerbiViz.ai

We plan on leveraging Encord to expand the range of use cases and include more medical conditions in our solutions... We are excited about our potential with Encord and look forward to seeing how we will evolve together

avatar