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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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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