18/05/2017 - 17:00 to 21:00

MAPILLARY: the collaborative platform to photo-map the world
with Christopher Beddow and Maptime Mi

/ Opentalk&Workshop
18th May 2017
c/o Opendot
via Tertulliano 70

Book your place here, it's free!

Mapillary is a collaborative street-level imagery platform powered by computer vision. Making images and data available to improve cities, build the maps of the future and create safer transportation. Together with Maptime Milano, this event will be a workshop covering the basics of how to use Mapillary from the ground-up: capturing street-level photos, uploading them, then analyzing the photos and derivative data to improve maps and spatial models of the local area. Technical instruction will cover the Mapillary API, extracting GeoJSON data for image locations, using Mapillary vector tiles, and editing OpenStreetMap with Mapillary.

/ Program
h 17-19 Introduction and live mapping session of Opendot’s neighbourhood
h 19-19.30 Pizza time kindly offered by CartoDB
h 19.30-21 Hands-on API Mapillary, GIS/OSM

Christopher Beddow is a Solutions Engineer at Mapillary, and is committed to helping societies better understand the world through maps, imagery and data. He travels between USA and Europe promoting Mapillary as well as enabling customers and community members to get maximum use from Mapillary data, APIs, and imagery.

Maptime Mi is a regular map meeting in Milano, inspired by the original idea from the amazing folks over at Stamen Design in San Francisco (http://maptime.io/) Starting in December 2014, they meet to work and draw on maps, learn about geospatial data, and teach each other the latest cartographic tools. Maptime is, rather literally, time for mapmaking. The mission is to open the doors of cartographic possibility to anyone interested by creating a time and space for collaborative learning, exploration, and map creation using mapping tools and technologies. Monthly catch up meeting in Opendot every fourth Thursday, everyone is welcome from experts to newbies!

Christopher Beddow, Maptime Mi