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

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

Jan 5, 2021

Geospatial Data, Detailed Annotation, Analysis: Preventative Planning and Postmortems

Geospatial data analysis by its very nature lends itself to solving Big Problems: drought mitigation aimed at preventing mass starvation, national defense surveillance to prevent invasion. Urban planning to make cities more livable, and sustainable. High on the list of consequential challenges is environmental protection, use of data analysis to prevent water and air pollution 

All Blog Posts

Jan 5, 2021

Geospatial Data, Detailed Annotation, Analysis: Preventative Planning and Postmortems

Geospatial data analysis by its very nature lends itself to solving Big Problems: drought mitigation aimed at preventing mass starvation, national defense surveillance to prevent invasion. Urban planning to make cities more livable, and sustainable. High on the list of consequential challenges is environmental protection, use of data analysis to prevent water and air pollution 

Jan 5, 2021

Quality Matters: An Engagement Review of Semantic Segmentation for Crops, Weeds

How do geospatial data annotation projects begin and – most important – how are they guided to a successful conclusion? What is a successful conclusion? An ongoing iMerit engagement (as of late 2020) to apply semantic segmentation to fields of crops (and some weeds) provides some insights into the art and science of data annotation

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