Kate Hess
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Kate is a Solution Engineer on Esri's National Government team. Based in Washington DC, she has a background in remote sensing and environmental science. Kate currently supports non-US National Statistics Offices, helping them modernize their census and statistics operations using GIS.

Posts by this author
Fine-Tune a Pretrained Deep Learning Model

Fine-tune Esri’s existing deep learning models with your own training data to improve accuracy for your area of interest.

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Deep Learning with ArcGIS Pro Part 3: QA/QC Extracted Features

Run Quality Assurance/ Quality Control (QA/QC) workflows on your inferenced features such as building footprints.

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Deep Learning with ArcGIS Pro Tips & Tricks: Part 2

Evaluate your imagery for deep learning and get started using out-of-the-box models such as building footprint extraction.

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Deep Learning with ArcGIS Pro Tips & Tricks: Part 1

Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro.

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