Artificial Intelligence and the Pursuit of Hoppiness for Czech Farmers

Artificial Intelligence and the Pursuit of Hoppiness for Czech Farmers

Learn how Agritecture uses computer vision, IoT, and data annotation to help Czech hop farmers combat pathogens, climate change, and staffing issues.

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Breakout Levels of Driving Automation: When is AI Applied? [Infographic]

Breakout Levels of Driving Automation: When is AI Applied? [Infographic]

Learn how the levels of driving automation in autonomous vehicles are determined by the presence of ADS with AI technology or ADAS.

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Three surprising takeaways from ODSC East 2022

Three surprising takeaways from ODSC East 2022

ODSC East 2022 surprises included how often "confident" data models are right (and wrong), and the extent to which humans in the loop affect outcomes.

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Drone Delivery and AI: GPS-Free Navigation

Drone Delivery and AI: GPS-Free Navigation

GPS free navigation technology enables the safety, scalability, and productivity of drone deliveries in urban areas where satellite signals can be lost.

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Why Using Physicians for Medical AI Data Labeling is a Big Mistake [Infographic]

Why Using Physicians for Medical AI Data Labeling is a Big Mistake [Infographic]

Busy physicians shouldn't do tedious data labeling work for medical AI projects. Save time and money by outsourcing data annotation to CloudFactory.

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4 Ways Perception and Data Processing are Improving Drone Inspection [Infographic]

4 Ways Perception and Data Processing are Improving Drone Inspection [Infographic]

Perception and data processing assists drones in automated navigation, digital twin creation, post-processing data, and real-time data processing.

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ICYMI: Key Insights into the Future of Drone Inspections

ICYMI: Key Insights into the Future of Drone Inspections

A panel of drone tech pioneers talks about how AI and computer vision, backed by high-quality data, is shaping the future of drone inspections.

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Understanding LiDAR Data in Autonomous Driving

Understanding LiDAR Data in Autonomous Driving

LiDAR data labeling needs to be precise in autonomous driving as the data gives vehicles a 3-D image to interpret surroundings safely.

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6 Ways Autonomous Technology is Transforming Farming

6 Ways Autonomous Technology is Transforming Farming

Agriculture is ripe for autonomous technology powered by computer vision. Learn how automation and robotics are impacting farming operations.

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Drone Delivery and AI: Object Detection and Collision Avoidance

Drone Delivery and AI: Object Detection and Collision Avoidance

This blog post is about how AI-enabled drones use object detection and collision avoidance computer vision technology for drone delivery at scale.

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Annotation Speed + Quality: 3 Workforce Approaches for Autonomous Checkout

Annotation Speed + Quality: 3 Workforce Approaches for Autonomous Checkout

Computer vision models for autonomous checkout require a lot of high-quality labeled training data. Learn how to scale and accelerate data annotation.

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Where Do ADS and ADAS Fall Into The Levels of Driving Automation?

Where Do ADS and ADAS Fall Into The Levels of Driving Automation?

This article discusses how the levels of driving automation are determined by the presence of ADS with AI technology or ADAS.

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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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Medical AI Security and Data Privacy in the Age of Computer Vision

Medical AI Security and Data Privacy in the Age of Computer Vision

Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.

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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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