Artificial Intelligence and Machine Learning for a Digital Twin

Jurisdiction: Tasmania


The City of Hobart is developing a Digital Twin that will contain high resolution photogrammetric data and allow integration with diverse datasets owned publicly or privately. We are keen to explore the use of Artificial Intelligence (AI) and Machine Learning within these datasets.

The City of Hobart are keen to explore the use of AI and Machine Learning that involves any kind of innovative response to the representation of a city and its data; including Object Recognition, Image Classification, Semantic Segmentation and Instance Segmentation.

Consider the following:

• Smart analysis and representation of trees or other assets (based on photographic data and known geospatial locations)
• Identifying buildings and creating their 3D envelope
• Incorporating anonymised data from security camera footage (traffic counting, people counting, motion paths, hotspots etc.)
• Any other relevant innovations

Additional Information:

Additional links:

https://www.hobartcity.com.au/Home
https://www.hobartcity.com.au/City-services/Geographic-information-data
https://au.opencitiesplanner.bentley.com/cityofhobart/digitaltwin (see note below)

Other relevant documents:

Where Deep Learning Meets GIS
Integrated Deep Learning with ArcGIS using Python
Connected Hobart: Smart City Action Plan
• Hobart 2010 Public Spaces and Public Life - 01 Final Report - Introduction
• Hobart 2010 Public Spaces and Public Life - 02 Final Report - Analysis
• Hobart 2010 Public Spaces and Public Life - 03 Final Report - Recommendations
• Hobart 2010 Public Spaces and Public Life - 04 Final Report - Public Life Data

Note:

THE DIGITAL TWIN IS PART OF A PROOF OF CONCEPT PROJECT BEING
DEVELOPED BY CITY OF HOBART AND THERE ARE NO GUARANTEES OF
SPATIAL ACCURACIES.

DISCLAIMER:
THIS DATA IS CONFIDENTIAL AND IS NOT TO BE SUPPLIED TO ANY OTHER
PARTIES. THE DATA IS ONLY TO BE USED FOR THE REQUIRED
PROJECT/PURPOSE IN AGREEMENT WITH THE CONTRACT OF ENGAGEMENT,
AND IN ACCORDANCE WITH ANY RELEVANT COH POLICIES.
THE DATA SUPPLIED IN THESE FILES IS NOT TO BE USED FOR DESIGN OR
CONSTRUCTION PURPOSES. THE DATA HAS BEEN ACQUIRED FROM VARIOUS
SOURCES AND THEREFORE IS RECORDED AT VARYING LEVELS OF RELIABILITY
AND THE INFORMATION CONTAINED IN THESE FILES MAY NOT BE COMPLETE.
THE HOBART CITY COUNCIL DOES NOT WARRANT THE ACCURACY OR
COMPLETENESS OF THE INFORMATION CONTAINED IN THESE FILES, AND THE
INFORMATION SHOULD BE VERIFIED BY A FULL SITE SURVEY PRIOR TO ANY
DEVELOPMENT OR CONSTRUCTION WORK BEING UNDERTAKEN. THE HOBART
CITY COUNCIL ACCEPTS NO RESPONSIBILITY FOR ANY CLAIMS FOR LOSS,
DAMAGE OR INJURY SUFFERED BY ANY PERSON OR ORGANISATION
RESULTING FROM THE USE OF THE DATA CONTAINED IN THESE FILES.

Image credit: City of Hobart.

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to Artificial Intelligence and Machine Learning for a CoH Digital Twin.

Entry: Challenge entry is available to all teams in Australia.

Dataset Highlight

LIST Orthophotography 2019

Go to Dataset

Metro Tasmania GTFS data

Go to Dataset

TomTom Hobart traffic

Go to Dataset

Transport Tasmania traffic cameras

Go to Dataset

Elvis - Elevation and Depth - Foundation Spatial Data

Go to Dataset

City of Hobart 3D buildings: 3D model no textures

Go to Dataset

Mount Wellington webcam

Go to Dataset

Contour 0.5m

Go to Dataset

Contour 0.25 (Coastal LiDAR)

Go to Dataset

Local Overlays - Heritage Areas 2015

Go to Dataset

Local Overlays - Bushfire prone Areas

Go to Dataset

Local Overlays - Central Business Height Area

Go to Dataset

Hobart Interim Planning Scheme 2015 Overlays

Go to Dataset

Hobart Interim Planning Scheme 2015 Zones

Go to Dataset

Public/ABS_2016 (MapServer)

Go to Dataset

Metro and Tassielink Bus Routes

Go to Dataset

Layer: Facilities Zoom in

Go to Dataset

LIST Cadastre and Administrative (Localities-Postcode):

Go to Dataset

LIST Topography and Relief:

Go to Dataset

City of Hobart: Street Lighting sample data

Go to Dataset

ENVIRON Significant Tree Locations

Go to Dataset

Stormwater Network

Go to Dataset

Urban Art Walls

Go to Dataset

Principal Bicycle Network

Go to Dataset

City of Hobart Playground Locations

Go to Dataset

Open Space Parks

Go to Dataset

Recreational Tracks and Trails - Open Data

Go to Dataset

Off-street Parking Occupancy Dashboard

Go to Dataset

City of Hobart Car Parks

Go to Dataset

City of Hobart Road Kerb Use

Go to Dataset

City of Hobart Road Assets

Go to Dataset

City of Hobart Road Formation

Go to Dataset

Road Centre Lines

Go to Dataset

City of Hobart Trees Parks and Street

Go to Dataset

Building Footprints

Go to Dataset

Challenge Entries

Back to Challenges