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.

Featured Blogs

Apr 6, 2021

Powering Driverless Cars with Data Annotation

Today, a majority of automobile manufacturers (Tesla, GM, Ford, BMW, Toyota, PSA, Renault-Nissan) and companies such as Waymo, Uber, NuTonomy envision a future with robotic vehicles driving around without any human presence being necessary. It is estimated that in 2025, the installation rate of AI-based systems in new cars should increase by 109%. Here are

Mar 29, 2021

How Noisy Labels Impact Machine Learning Models

Supervised Machine Learning requires labeled training data, and large ML systems need large amounts of training data. Labeling training data is resource intensive, and while techniques such as crowd sourcing and web scraping can help, they can be error-prone, adding ‘label noise’ to training sets. Can ML systems trained with noisy labels operate effectively? Studies

Dec 15, 2020

The Importance of Data Labeling Quality to Your AI Effort

I have long believed that technical success and financial success go hand in hand. In my earlier blogs, I talked about the importance of a solution approach to being successful with AI. The idea is to focus your limited resources on what will make your AI efforts technically and financially successful.  Getting a labeling services

All Blog Posts

Jan 11, 2021

Top AI Trends and Data Annotations for 2021

The applications of Artificial Intelligence will continue to explode in the new decade ahead, and data annotation solutions will support that journey. Over 86% of respondents of a PwC survey say that AI will be a “mainstream technology” at their company in 2021. Here are some of the biggest ways in which AI will drive

Jan 5, 2021

Environmental Initiatives And An All-important Minerals Census

Much of the local, regional, and federal government focus on mining-related geospatial data analysis remains focused on environmental remediation and land reclamation initiatives, but there’s been a relatively recent push into more proactive missions. That’s particularly true for projects that have implications for national security, such as the search for minerals and metals vital to

Jan 5, 2021

How Art and Science Intersect On The iMerit Solutions Team

The most effective data annotation teams succeed through highly scientific, systematic processes – but present throughout is the steady hand of experienced managers who bring a very human perspective to image – and pattern – recognition. Machine learning is very much a scientific process but with a bit of artistry thrown in; teaching an algorithm