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.
Jun 17, 2026
How iMerit Won the CVPR 2026 Auto Annotation Challenge
iMerit placed 1st at CVPR 2026 Auto3D Challenge, outperforming 11 teams with a no-3D-label pipeline using SAM 3, CLIP, and LoRA adaptation.
Jun 25, 2021
U.S. Department of Defense Reaffirms Artificial Intelligence Ethical Principles
As the U.S. Department of Defense (DoD) seeks to increase funding for AI, a new policy memorandum outlines 5 principles for ethical AI development. Read more here.
Jun 23, 2021
How to Scale Your Training Data Pipeline
iMerit has developed a phased approach to working with clients that scales for data labeling projects of all types and sizes. Learn more here.
Jun 23, 2021
5 Steps to Guarantee a Successful Data Labeling Program
In this blog, learn more about the key elements of good planning and forecasting while building a successful data labeling program for AI and ML projects.
Jun 23, 2021
How Edge Cases Hinder Autonomous Vehicle Development
Tricky edge case developments or unusual occurrences need to be tackled carefully in the development of autonomous vehicles. Learn more in this blog post.
Jun 15, 2021
6 Takeaways From TechCrunch Mobility 2021
At TechCrunch Mobility 2021, iMerit CEO and Founder Radha Basu and other industry experts discuss the role of data and edge cases in enabling modes of autonomous transportation.
Jun 15, 2021
SAE International Webinar Recap: Commercial Vehicles – The Real Home for High-Level Autonomy
Read the key takeaways from the SAE International webinar titled, “Commercial Vehicles: The Real Home for High-Level Autonomy”
Jun 10, 2021
iMerit at Fintech Finance Virtual Arena
iMerit Chief Revenue Officer Jeff Mills joins Fintech Finance Virtual Arena to talk about how data is transforming AI and machine learning in the finance industry.
Jun 3, 2021
Selecting Data Labeling Tools Doesn’t Have To Be Hard – Read These Simple Tips
Your data science teams have the talent, but still need the tools to execute on data labeling. In this piece we outline the pros and cons of iMerit’s top four data labeling tools down to their most granular features.
Jun 3, 2021
What Data Quality Means to the Success of Your ML Models – 6 Rules You Need to Follow
Data quality comes in all shapes and sizes, but it’s important data labeling be consistent, sized appropriately, covers all edge cases, and has timely feedback from production.
Jun 3, 2021
3 Best Emerging Solutions in Data Labeling – How to Achieve Both Quality and Speed
Innovative data labelling techniques can help improve perception engineering and speed up time to market for autonomous cars.
Jun 1, 2021
Machine Learning with Unlabeled Training Data
Learn more about how unsupervised learning uses unlabeled data and how that can be useful starting point for supervised learning.
Jun 1, 2021
iMerit CEO Radha Basu Set to Speak at TechCrunch Mobility 2021
Listen to iMerit’s Founder and CEO Radha Basu and autonomous vehicle industry experts Chris Barker and Michael Sherwood speak at a panel at TechCrunch Mobility 2021.
