Starts: May 23 - 6 pm ET
<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/13284de2-9e1f-4722-a087-1d59a74a38fe/emojipng.com-973419.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/13284de2-9e1f-4722-a087-1d59a74a38fe/emojipng.com-973419.png" width="40px" /> 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.
</aside>
<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].
</aside>
~ Sophie Nitoslawski | Co-Lead
Drone expert | PhD.c @ University of British Columbia, Canada
.jpg)
~ 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
</aside>
❗ 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