Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.

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5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.

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4 Use Cases on Why Using Drones to Collect Data Improves Inspections

4 Use Cases on Why Using Drones to Collect Data Improves Inspections

These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.

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Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

Recap of our chat with V7 about medical AI data annotation while creating a dataset of COVID-19 X-rays for clinical use and diagnostic AI development.

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Breaking Down The Levels of Drone Autonomy

Breaking Down The Levels of Drone Autonomy

Learn about the levels of drone autonomy and how advancements in AI are transforming drone operations across various industries.

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The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

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Now is the Time for Medical AI Adoption

Now is the Time for Medical AI Adoption

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

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From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.

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6 Ways Medical AI is Transforming Healthcare

6 Ways Medical AI is Transforming Healthcare

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

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CloudFactory Launches New CV Offering: Data Annotation Solution

CloudFactory Launches New CV Offering: Data Annotation Solution

We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.

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Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Autonomous vehicles and AI driver safety tools aren’t affordable for all. Driver Technologies made a free innovative app and model training database.

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Under the Hood: Active Learning and Autonomous Vehicles

Under the Hood: Active Learning and Autonomous Vehicles

Autonomous vehicles require continuous training to ensure they operate safely. Here’s how active learning can improve that process.

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Billions of Miles of Data: The Autonomous Vehicle Training Conundrum

Billions of Miles of Data: The Autonomous Vehicle Training Conundrum

Discover the autonomous vehicle training conundrum. Learn about machine learning for autonomous cars and the challenges of vehicle data collection.

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Speed Bumps Ahead: Training Data Hurdles for Autonomous Vehicles

Speed Bumps Ahead: Training Data Hurdles for Autonomous Vehicles

From localized bias to difficulties annotating video and radar data, here are some of the biggest challenges facing the future of autonomous vehicles.

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AI in Action: The Rise of Autonomous Vehicles

AI in Action: The Rise of Autonomous Vehicles

In the Rise of Autonomous Vehicles the world of transportation and logistics is rapidly changing. Here are 3 AV innovators you should know about.

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How Autonomous Cars Learn to See

How Autonomous Cars Learn to See

Training a car to drive itself is a heavy lift. Here’s how the process of Visual Data Collection for Autonomous Cars works and how it's used by people.

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