This video walks through the full workflow for creating a deep learning object detection model using the geoprocessing tools in ArcGIS Pro, from collecting training data to using the model to inference a new image. The images used in this video are from the NAIP (National Agriculture Image Project).
0:00 – Introduction
0:21 – Collect Training Data
2:26 – Format Training Data
3:22 – Train Deep Learning Model
5:01 – Inspect Model Performance
6:10 – Run model on new image
If you're interested in learning more, check out the following resources: How to install deep learning frameworks in ArcGIS Pro: https://www.youtube.com/watch?v=ewq15V2RJGI&list=PLZ9TJcIeAUwe86jbM7X01nszkyUpGGOfl&index=30&t=21s
Automate Image Analysis with GeoAI and Deep Learning Workflows Full Webinar:
https://resources.esri.ca/webinars/automate-image-analysis-with-geoai-and-deep-learning-workflows
Deep Learning in ArcGIS Pro blog:
https://resources.esri.ca/education-and-research/unlocking-the-potential-of-deep-learning-in-the-arcgis-system
