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
iMerit placed 1st at CVPR 2026 Auto3D Challenge, outperforming 11 teams with a no-3D-label pipeline using SAM 3, CLIP, and LoRA adaptation.
Dec 15, 2021
Explore how Dataloop, an end-to-end cloud-based annotation platform, helps to tackle edge case situations in computer vision and what the future of the labeling tooling space looks like.
Dec 8, 2021
Medical AI applications can provide speed, lower costs, and increased efficiency. But only if they are trained using high-quality annotated data sets.
Dec 2, 2021
It is with great sorrow that we announce the passing of Partho Chatterjee, iMerit board member, and long-time advisor.
Nov 25, 2021
AV Global Readiness Index: Who will get there first? Learn how different countries score on axes from innovation to infrastructure, in their readiness for AVs.
Nov 24, 2021
Explore the realities of AI adoption and deployment, determining the right tools and why it is important to have human-involvement in the workflow.
Nov 19, 2021
On the MapScaping Podcast, iMerit's Mallory Dodd explores the importance of quality training data for AI and ML and how to build it.
Nov 5, 2021
Building models can be both enjoyable and frustrating. If you’re building an ML model and need some best practices, we’ve already done the research for you.
Oct 26, 2021
Explore NLP data challenges in the ML operations landscape with key takeaways from iMerit's Data on the Edge episode with Ivan Lee, CEO of Datasaur.
Oct 22, 2021
This article elucidates some of the steps that must be taken prior to building an ML model and investigates how they ultimately influence downstream predictions.
Oct 12, 2021
iMerit is one of the top 20 computer vision AI startups to watch in 2021, according to a list published by Appengine.ai, a global network of AI/ML Startups and Investors.
Oct 12, 2021
iMerit is named one of the top 100 most innovative image recognition companies in California by Data Magazine.
Oct 8, 2021
We have put together recommendations from experts to determine how much data you will need, to correctly estimate project effort and cost and to kickstart it.