Starts: May 23 - 6 pm ET

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High resolution drone images provide detailed snapshots of the cities’ landscape. In this working group, we examine the capabilities of multiple ML techniques trained on custom-collected data to develop classification algorithms.

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<aside> 💡 Prior experience using Python is required for this project. We recommend that user’s are also familiar with Google Colab, Tensorflow and Numpy for ML-related modelling tasks. No previous remote sensing knowledge is needed for this project. Please watch the videos in the “Other Useful links + Resources” section to get a clear high level understanding of the whole project: [ https://www.notion.so/aggregate-intellect/7e815b3a5f4e48b3ac6d92fc2c19e7cd?v=aaf9ff169e8e4687916fc560031a8734].

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Working Group Leads / Advisors

~ Sophie Nitoslawski | Co-Lead

Drone expert | PhD.c @ University of British Columbia, Canada

~ Ibrahim Elchami | Co-Lead

IoT/AI cloud architect | Postdoc, University of British Columbia, Canada

~ Isabel Todorova | Co-Lead

Drone expert | UBC Graduate @ University of British Columbia, Canada

<aside> ❗ Join

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❗ Meeting Link: Zoom

❗ Meeting Time: Mondays 6-6:30 PM ET on Mondays (starting Monday 23rd of May)

❗ Slack channel [Communication point]: Join by clicking here

❗ Dataset: Drone Images from 3 Parks

❗ Session Slides: Slides [including optional additional information]

❗ Session Videos: Session Videos

Project Overview