Encord

Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in your training data, and train & diagnose models to deliver value from your AI initiatives faster.

Case Studies

Showing 22 Encord Customer Success Stories

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Training Computer Vision Models to Track Rented Assets

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Annotating and Reviewing Medical Imaging Data with Encord

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Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling

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Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision

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Overcoming The Mental Torture of Manual Data Labelling

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6x Faster Video Annotation for King's College London

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The automation provider tracked objects across different views & replaced 37 annotation hours with 1

Rapid Annotation & Flexible Ontology for a Sports Tech Startup

Creating Advanced Ontologies for Memorial Sloan Kettering Cancer Center

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Improving Synthetic Data Generation with Encord Active

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Saving the Honey Bees with Computer Vision

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Reducing MRI and CT Annotation Time by 70% for Rapid AI

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From 37 Annotation Hours to 1 with AI-assisted Labeling

Reducing Experiment Duration for Stanford Medicine

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How Surgical Data Science Collective (SDSC) Conducted Video Annotation 10x Faster

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Teton.ai - Customer Case Study

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Using Computer Vision to Prevent Falls in Care Homes and Hospitals

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The company built custom label structures with Encord's adaptive ontology & automated workflows with Encord's SDK

Building Computer Vision Models for Insurance with Tractable

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Accurately Measuring Carbon Content in Forests

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Reducing Model False Positive Rate from 6% to 1% with Vida ID

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Accelerating Diagnosis to Treatment with Encord

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