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Mark Wronkiewicz

Machine Learning Engineer, Development Seed @mark_wronk

Mark is focused on using machine learning tools to empower mappers. He works on projects to augment human effort with automation so they are more efficient and accurate. Most of his work revolves around analyzing infrastructure (e.g., builds and roads) in overhead imagery.

On the agenda

  1. Panel Panelists

    Bot or not?

    Hemisphere A • Wed, Sep 19 • 12:00AM

    AI isn’t replacing humans, its helping humans work smarter and faster. Hear from industry leaders in applied AI about emerging design patterns in combining humans and machines to build a queryable planet.

  2. Workshop Track: Machine Learning Facilitators

    Label Maker and Robosat

    Oceanic A/B • Thu, Sep 20 • 12:00AM

    There are a handful of existing annotated datasets for satellite imagery, but they’re mostly limited to urban regions in Western countries. This presents a challenge when attempting to use machine learning algorithms in non-Western regions. This workshop will show you how to generate custom data for feature extraction from aerial and satellite imagery. We’ll use two open source tools, Label Maker and RobotSat, to prepare the data, train an algorithm, and predict over a test area. Difficulty: Intermediate. Prerequisites: Basic understanding of machine learning, satellite imagery, and OpenStreetMap.

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