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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5 Tips for Mastering Data Preparation for Machine Learning

5 Tips for Mastering Data Preparation for Machine Learning

Data preparation is the most time-consuming part of machine learning. Here are a few tips for getting it right.

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AI in Agriculture: How Scaling Data Labeling Keeps Agronomists in the Field

AI in Agriculture: How Scaling Data Labeling Keeps Agronomists in the Field

Agriculture data is complex. Annotating agtech data often requires help from agronomists. We help Hummingbird Tech overcome that AI product development hurdle.

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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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Five Great Books about AI and Machine Learning

Five Great Books about AI and Machine Learning

Whether you’re a seasoned pro or new to artificial intelligence, continued learning important. Here are a few of our favorite machine learning & AI books.

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Opportunities and Challenges of Video Annotation for Computer Vision

Opportunities and Challenges of Video Annotation for Computer Vision

Images and videos are both means to an end to annotate visual data. Each may have its own unique process but in the end individual frames are being annotated on a meta data level. ...

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3 Opportunities for Image Annotation to Improve Our World

3 Opportunities for Image Annotation to Improve Our World

Image annotation holds great promise for these centuries-old industries that rely heavily on visual data and are ripe for AI innovation.

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