The iMerit Blog

From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the artificial intelligence and machine learning data-enrichment marketplace.

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Sep 29, 2021

Learning Common Sense from Video

The blog explores how video machine learning (ML) systems can learn common sense with a little help from human annotators and video ML models.

Sep 22, 2021

The Lazy Data Scientist’s Guide to AI/ML Troubleshooting

Poor-performing ML and AI models are all too common. In this blog, we outline troubleshooting techniques and key considerations for evaluating your AI/ML model.

Sep 20, 2021

27 AI/ML Datasets & Search Engines You Can Use Right Now

Hand-picked dataset search engines, aggregators, and repositories for your ML projects. Full list in iMerit’s blog post.

Sep 17, 2021

Crowdsourced Data Labeling: When To Use it, and When Not To

Learn more about the good, bad, and ugly of crowdsourced data annotation and where subject-matter experts can make-or-break a successful AI project.

Sep 16, 2021

iMerit CEO Radha Basu Speaks To AI For Good: Key Takeaways

iMerit CEO Radha Basu talks with Lindsey Asis at AI for Good Foundation, about the importance of inclusion, quality AI data, and iMerit's business model

Sep 15, 2021

This Is How You Know It’s Time To Bring in Professional Data Labelers

Learn the telltale signs that it may be time to outsource your data labeling to a professional team, and why it will save you a big headache in the long run.

Sep 9, 2021

AI on the Fly with Brett Hallinan: Trillion Dollar Infrastructure Bill’s Impact on New Mobility

iMerit’s Brett Hallinan and autonomous vehicle industry expert Chris Barker dive into the latest headlines about the $1 trillion federal infrastructure bill and its impact on autonomous vehicles.

Sep 1, 2021

Edge Cases: How AI Pipelines Solve Hidden Data Challenges

Learn how iMerit adapts to edge cases found during annotation and assumption testing to improve model accuracy and deployment readiness.

Aug 24, 2021

How Natural Language Processing Combines Words and Images

Pairing words with images helps NLP systems better mimic human understanding, boosting performance across captioning, QA, and classification.

Jul 29, 2021

Top Takeaways from ODSC session: ‘Why ML Projects Fail and How to Avoid Them’

With key takeaways from iMerit's Webinar at ODSC, learn how to ensure high-quality data and achieve ML Project success.

Jul 29, 2021

Top Takeaways from CVPR session: How ‘Context’ Improves Data Annotation Accuracy

With the key takeaways from iMerit's CVPR 2021 session, learn how providing context to images can greatly improve data annotation accuracy.

Jul 29, 2021

Stand on the Shoulders of Giants with Transfer Learning

Learn how transfer learning enables an application with limited training samples, like Alzheimer’s detection, to benefit from a much larger training set.