AI Output Systems
Brett discusses the innovative structure of AI at Nearmap, highlighting the distinct roles of the AI output systems, model R&D, and model systems teams. He explains the complexity of labeling aerial imagery, detailing how they manage over 110 layers of semantic meaning and 250 attributes to represent the urban physical world, including intricate details about buildings and their conditions. This nested hierarchy of information enables advanced machine vision applications.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Related Questions