The Collaborative Training Data Platform for Computer Vision
From data annotation to assessing model performance, Encord provides an end to end solution for computer vision teams looking to move past legacy, open-source solutions and put their models into production faster.
Trusted by pioneering AI teams
Autonomous Transportation
Sports Analytics
Smart Cities
Agriculture
Retail
AR/VR
Automate Labeling With Foundation Models
Annotate and label your data quicker than ever before with Encord’s built-in models that augment your human workforce and allow you to pre-label data.
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Reduced Hours of Annotation From 37 to 1
"Using Encord’s micro-model and interpolation modules, annotation accuracy increased to 99% as they were able to seamlessly track objects throughout videos."
Reduced False Positive Rate From 6% to 1%
"Using Encord’s platform, we were able to train our new models on much better datasets with much higher quality labels... I’ve been very impressed with how Encord iterates on the SDK, listens to feedback, and constantly improves the product."
Saved 9 Months of Building an In-House Tool
"We moved towards using Encord because of the additional features in the platform– like having a robust system to do quality control and a method for measuring the confidence scores of how much labelers agree – were ideal for scaling."
Expedite Model Production With Active Learning
Train, test, and deploy models in automated pipelines while ensuring your model is being trained on the most informative data points using Active Learning techniques.
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Seamless Collaboration With Custom Workflows
From expert QA to annotator management, create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.
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