Automating the Assessment of Training Data Quality with Encord

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An Introduction to Synthetic Training Data
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4 min read

An Introduction to Synthetic Training Data

Put simply, Synthetic data is information – aka data – that’s been artificially manufactured rather than having been captured via real-world events.

Providing Critical Computer Vision Infrastructure as Part of the Project Stormcloud Community
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2 min read

Providing Critical Computer Vision Infrastructure as Part of the Project Stormcloud Community

Last month, Encord was one of a number of global tech companies invited by Amazon Web Services (AWS) to attend the event dubbed Project Stormcloud.

Applying Principles of Quantitative Finance To Data Science
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Applying Principles of Quantitative Finance To Data Science

We've applied quantitative finance principles to help develop a platform that enables our customers to create and manage high-quality training data for computer vision.

Three Considerations for Regulatory Compliance When Building AI Systems
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Three Considerations for Regulatory Compliance When Building AI Systems

When it comes to building AI systems, you’ve got to take data compliance considerations into account from day one; otherwise, your project will be finished before it even begins. 

Using Computer Vision Technology and Unique Training Data Tooling to Prevent Falls in Care Homes and Hospitals: An Interview with Teton AI’s Esben Thorius
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Using Computer Vision Technology and Unique Training Data Tooling to Prevent Falls in Care Homes and Hospitals: An Interview with Teton AI’s Esben Thorius

We got together with Teton’s CTO Esben Thorius to learn about the role of computer vision in fall prevention and how Encord’s training data tooling has provided Teton with the flexibility needed to label and manage training data in the ways that result in the best model performance possible.

Training Computer Vision Models to Track Rented Assets and Triage Issues: An Interview with Charlotte Bax, Founder and CEO of Captur AI
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6 min read

Training Computer Vision Models to Track Rented Assets and Triage Issues: An Interview with Charlotte Bax, Founder and CEO of Captur AI

We caught up with Captur founder, Charlotte Bax, to hear more about the power of computer vision to assess the condition of remote assets, her experience using Encord, and her mission to bring applied AI to long-tail industries like operations.

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Label a Dataset with a Few Lines of Code
Why You Should Ditch Your In-House Training Data Tools (And Avoid Building Your Own)
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6 min read

Why You Should Ditch Your In-House Training Data Tools (And Avoid Building Your Own)

Introduction to micro-models or: how I learned to stop worrying and love overfitting
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6 min read

Introduction to micro-models or: how I learned to stop worrying and love overfitting

Playing Videos is Easy - Pausing them is Hard
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Playing Videos is Easy - Pausing them is Hard

Modern web browsers give you insufficient control over embedded videos. This is what we learned from solving frame synchronisation issues in web applications

Encord Named to the 2022 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups
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2 min read

Encord Named to the 2022 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

CB Insights today named Encord, the platform for data-centric computer vision, on its annual AI 100 ranking, a list showcasing the 100 most promising private artificial intelligence companies in the world.

Stop being precious about building data infrastructure tools
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4 min read

Stop being precious about building data infrastructure tools

Most startup founders will agree that having a first-mover's advantage by reducing time to market is an essential part of their long-term success strategy.

The “Mental Torture” of Manual Data Labelling and the Future of Medical AI: An Interview with Dr. Bu Hayee
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7 min read

The “Mental Torture” of Manual Data Labelling and the Future of Medical AI: An Interview with Dr. Bu Hayee

We recently sat down with Dr. Hayee to hear more about his thoughts on the role of deep learning in medical diagnosis, his collaboration with Encord, and the changing landscape of medical AI.