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.
Feb 6, 2025
Adapting DMS Technology to Handle Unstructured Traffic and Diverse Behavior
Discover how Driver Monitoring Systems (DMS) enhance road safety in India by detecting driver fatigue, distraction, and drowsiness. Learn about AI-powered DMS, its adoption challenges, and its impact on unstructured traffic.
Nov 25, 2021
Top 5 Autonomous Vehicle Takeaways: The $1TN US Infrastructure Bill
The Autonomous Vehicles Readiness Index (AVRI) is a score devised by KPMG which assesses a country’s current readiness for incorporating
Nov 24, 2021
iMerit on the AI in Business Podcast: Key Takeaways
When it comes to the realities of AI adoption and deployment, it’s often the service providers – executing the hands-on
Nov 19, 2021
Labels Matter: Key Takeaways from The MapScaping Podcast
iMerit Solutions Architect Mallory Dodd is featured on the MapScaping Podcast, “Labels Matter,” hosted by Daniel O’Donohue. She discusses how
Nov 5, 2021
Three Common Machine Learning Pitfalls and How to Avoid Them
There’s no need to reinvent the wheel. While this cliche is often overused, it especially applies to the world of
Oct 26, 2021
Data on the Edge with Datasaur: Key Takeaways
In the inaugural episode of Data on the Edge, Jeff Mills, Chief Revenue Officer of iMerit, sits down with Ivan
Oct 22, 2021
3 Things To Do Before Building Your ML Model
Machine Learning: Prior to Model Building In the world of machine learning, much focus is devoted to the nature of
Oct 12, 2021
iMerit Named in the Top 20 Computer Vision AI Startups to Watch in 2021
iMerit is one of the top 20 computer vision AI startups to watch in 2021, according to a list published
Oct 12, 2021
iMerit Recognized Among 100 Most Innovative Image Recognition Companies in California
iMerit was ranked in Data Magazine’s list of the “100 Most Innovative Image Recognition Companies in California”. The companies were
Oct 8, 2021
Working on an AI Project? Here’s How Much Data You’ll Need.
Considering that 80% of the work required for an AI project is collecting and preparing data, determining how much data
Sep 29, 2021
Learning Common Sense from Video
Today a big gap between human and machine intelligence is common sense. When we humans interpret language or visual scenes,
Sep 24, 2021
Building and Labeling High-Functioning Datasets for Your Model
There’s something we need to get off our chest, and it isn’t easy for us to say: optimizing datasets can
Sep 24, 2021
How to Navigate Data Labeling Solutions for NLP
Navigating data preparation for natural language processing (NLP) applications comes with its fair share of complexity. With such a wide
