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.

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

Sep 22, 2021

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

Data isn’t born for AI/ML models. While quantifiable, data is still a chaotic mess that needs deciphering before it can

Sep 20, 2021

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

Looking for some AI/ML datasets? You’ve come to the right place. In an effort to facilitate your search for ground

Sep 17, 2021

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

It’s a fact of life: machine learning and deep learning, while revolutionary, require tremendous volumes of data. Even with algorithmic

Sep 16, 2021

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

Radha Basu, the CEO and founder of iMerit, sits down with Lindsey Asis, Programme coordinator at AI for Good Foundation,

Sep 15, 2021

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

It’s perfectly normal to reassess if your data-labeling methods are meeting the needs of your organization. For anyone who has