Detect and Classify objects using deep learning in ArcGIS Workshop

My Session Status
Co:
Workshop
Kiedy:
15:00, poniedziałek 28 paź 2024
(1 godz.)
Gdzie:
Virtual Meeting Space
- Virtual Workshop
Virtual session
This session is in the past.
The virtual space is closed.
Geospatial AIWorkshop
In this virtual workshop, you will fine-tune a pretrained model from the ArcGIS Living Atlas of the World collection and apply it to high-resolution imagery to efficiently detect and classify objects in ArcGIS Pro. Participants will gain hands-on experience in adjusting the deep learning model parameters to enhance its accuracy and performance for specific use cases. Additionally, you will learn advanced techniques for data preprocessing, prepare training samples, and model evaluation, ensuring a comprehensive understanding of the entire deep learning workflow. By the end of the session, you will be equipped with the skills needed to use GeoAI tools in your projects.
Laptops with ArcGIS Pro software.
If attendees are interested in following along during the workshop, they need a computer with ArcGIS Pro software and will need to install the deep learning libraries. Instructions to do so can be found in the following link:
https://learn.arcgis.com/en/projects/get-ready-for-deep-learning-in-arcgis-pro/
Dokumenty
Kto bierze udział
Hamed Rezaei
Southern Alberta Institute of Technology
Hamed Rezaei
Southern Alberta Institute of Technology
Heather Campbell
MNC Ltd.
Kara Weiss
NA
Willy Yuan
Self-Employed
Jill Francis
NSCC
Elsa Hsiao
Southern Alberta Institution Technology BGIS Student
Mackenzie Laliberte
Southern Alberta Institute of Technology
Lori Bossert
WSP
Nancy Wang
N/A
Linda Tober
MNC
Andrii Nahornyi
Measurement Sciences Inc
Brad Audet
Xplore
Harshil Saraiya
freelancer
Akshay Gopan Sreekala
Southern Alberta Institute of Technology
Wei Ye
Phasor Engineering
Sharli Jodhani
vogtech
Luke Viccars
University of Calgary
Hazel Cameron-Inglis
NorthWind Land Resources
Vikram Kahlon
GIS Graduate
Harshsudha Sharma
Southern Alberta Institute of Technology, Calgary
Parisa Ahmadi
Company
Gayathri G R
SAIT
Ameer Hamza
University of Alberta
Tom Kitto
MapIQ
KT Tang
western
Carlos Rojas
INEGI
raouf kaviani
Uottawa
Sarah Prestie
WSP
David Minarik
SAIT
Justin Pianosi Houden
SAIT - Geomatics Engineering Technologies Student
Amresh Sharma
Studying Master of Engineering in Geomatics Engineering at University of Calgary
University of Calgary
Wesam Omran
University of Calgary