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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V7 Labs & CloudFactory Release Annotated X-Ray Dataset to Aid in COVID-19 Research

V7 Labs & CloudFactory Release Annotated X-Ray Dataset to Aid in COVID-19 Research

CloudFactory and V7 Labs annotated chest x-rays and trained ML models to identify issues including COVID-19. The dataset is now available for research.

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Partnering to Achieve an Adaptive Workforce

Partnering to Achieve an Adaptive Workforce

Some organizations are winning in a pandemic by adapting to changing customer and market demands. We’ve provided adaptive workforces for a decade. Here’s what they look like.

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6 Key Features of Data Annotation Tools [Infographic]

6 Key Features of Data Annotation Tools [Infographic]

Some data annotation tools won't be a good fit for your AI and machine learning project. Keep these six important features in mind as you evaluate tool providers.

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4 Essentials for the Data Labeling Pipeline

4 Essentials for the Data Labeling Pipeline

Supervised learning requires a lot of labeled data. Here’s what it takes to design a high-performance data labeling pipeline for machine learning.

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Boiling the Ocean: Processing the Data that Powers AI

Boiling the Ocean: Processing the Data that Powers AI

Even in uncertain times, you’re swimming in an ocean of data. If you’re using AI, how you process and use that data will determine the future of your business.

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Crowdsourced Workers vs. Managed Workers [Infographic]

Crowdsourced Workers vs. Managed Workers [Infographic]

Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.

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Why Using Data Scientists for Data Labeling is a Big Mistake [Infographic]

Why Using Data Scientists for Data Labeling is a Big Mistake [Infographic]

Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation.

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5 Qualities in Good Data Labeling Vendors [Infographic]

5 Qualities in Good Data Labeling Vendors [Infographic]

Not all outsourced data labeling partners are a good fit for every AI project. Here are 5 things you need to consider before, during, and after vendor evaluations.

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Top Benefits and Limitations of Auto Labeling

Top Benefits and Limitations of Auto Labeling

The data annotation. One emerging feature is automation, also known as pre-annotation or auto labeling. This article will focus on some of its benefits and drawbacks.

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Data Security in the Age of Remote Workforces

Data Security in the Age of Remote Workforces

Many companies are having to contend with new data security concerns associated with their employees accessing important data from home.

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Five Questions to Ask Your Workforce Vendor in the Age of COVID-19

Five Questions to Ask Your Workforce Vendor in the Age of COVID-19

It is not enough for workforce vendors to tout a history of quality and speed. They must prove they can serve your needs during and after COVID-19.

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How to Keep Your Machine Learning Models Up-to-Date

How to Keep Your Machine Learning Models Up-to-Date

No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.

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