In-Store Autonomous Checkout:  Moving at the Speed of Consumer Expectations

In-Store Autonomous Checkout:  Moving at the Speed of Consumer Expectations

Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.

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Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Geospatial data is fueling innovation in many sectors. Read on if your business needs to scale its data labeling operations while maintaining quality.

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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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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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11 Interesting LiDAR Applications

11 Interesting LiDAR Applications

Apple just introduced its newest iPhone models, which feature a LiDAR scanner. Here’s how innovators use LiDAR to train machines to interpret the visual world.

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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 available or affordable for all. Driver Technologies created a free app and model training database to boost safety and ...

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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

Autonomous vehicles are among the most data-hungry machines the world’s ever seen. Here’s a look at data collection techniques and challenges.

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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

Autonomous vehicles are changing the world of transportation and logistics. 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 a closer look at how it works and how people are involved in the process.

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How Computer Vision Helps Us See the Future

How Computer Vision Helps Us See the Future

Can AI help us predict the future? Here are some fascinating ways computer vision can use today’s data to model tomorrow’s outcomes.

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4 Common Misconceptions About Image Annotation for Computer Vision

4 Common Misconceptions About Image Annotation for Computer Vision

Image annotation is one of the most important tasks when training a computer vision model. Here are common misconceptions to overcome first.

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6 Steps to Create Custom Data Sets for Computer Vision

6 Steps to Create Custom Data Sets for Computer Vision

Quality data is the lifeblood of great computer vision applications. Here’s a closer look at best practices for creating your own custom data sets.

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3 Ways to Acquire Data Sets for Computer Vision

3 Ways to Acquire Data Sets for Computer Vision

Great computer vision applications require quality visual data, and a lot of it. Here are your options when you need data.

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How Image Annotation Helps Advance Medical AI

How Image Annotation Helps Advance Medical AI

AI is transforming healthcare by arming practitioners with more information at the right times to make better decisions and fewer errors. Here’s how image annotation makes it ...

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