Can we identify 3-D images using very little training data?

As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse-- How do we leverage the power of AI when we have very little data? In this blog, I'll illustrate an approach by walking you through my project during my Data Science Fellowship at Insight, followed by a quick discussion pertaining to broader application. The initial problem came from my client at Insight. They're a tech company that specializes in developing software that enables remote monitoring of construction sites. They were interested in understanding the feasibility of identifying objects from 3-D images.