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Kure Atoll, Hawaii, USA – May 12, 2016
Large Scale Datasets for Object Detection in Satellite Imagery
Gopal Erinjippurath, Senior Director, Analytics Engineering
14 Nov 2018
IN THE SPAN OF A DAY OR WEEK OR MONTH…
An illegal logging road

appears in the rainforest...
and 1,000-year-old trees 

are lost forever.
IN THE SPAN OF A DAY OR WEEK OR MONTH…
A plane departs 

from a location of interest —
and a military 

loses situational awareness.
IN THE SPAN OF A DAY OR WEEK OR MONTH…
A community

is devastated by a natural disaster...
and the local government
lacks the ability 

to deploy emergency 

responders effectively.
MISSION
To image the whole world every day,
making change visible, accessible and
actionable.
130+
RapidEye
Satellites5
SkySat
Satellites13Dove Satellites
PlanetScope
Planet Constellations
10cm
10cm
30cm
VIDEO PLACEHOLDER
NEW LINE SCANNER VIDEO
Planet Imagery
www.developers.planet.com
ENERGY & INFRASTRUCTUREDEFENSE & INTELLIGENCE
FORESTRY
FINANCE & BUSINESS INTELLIGENCEINSURANCE
EMERGENCY MANAGEMENT
CIVIL GOVERNMENT
AGRICULTURE
MAPPING
Space + ML
VISION
Web Platform for Geospatial Analytics
Planet Doves
RapidEye
SkySat
(TerraBella)
Landsat 8
Sentinel 2
Customer Data
GEOSPATIAL DATA AUTOMATED DATA PIPELINE & ANALYTICS APPLICATIONS
Analytics
Customer Algorithms
Image
Processing
3rd Party
Applications
Direct Data
Access Via Web
Building a Disasters DataSet
Disasters AOIs
Example Disaster AOI (Hurricane Irma, Sept 2017)
SkySat Scene Strip
PlanetScope Scene
(ISO orbit)
PlanetScope Scene
(SSO orbit)
SkySat Sample
(Harbor)
Example Disaster AOI (Hurricane Irma, Sept 2017)
Example Disaster AOI (Hurricane Irma, Sept 2017)
Disaster
AOIs
Public
Dataset
OSM
Filtering
Scene
Level
Sampling
Chipping
Crowd
Annotation
Object
specific
Instructions
and test Qs
Expert
Curation
Expert
reference and
training set
Gold
Standard
Dataset
Chip-level
Post Filtering
Public
Dataset
Data Collection Funnel
Disaster
AOIs
Public
Dataset
OSM
Filtering
Scene
Level
Sampling
Chipping
Crowd
Annotation
Object
specific
Instructions
and test Qs
Expert
Curation
Expert
reference and
training set
Gold
Standard
Dataset
Chip-level
Post Filtering
Public
Dataset
AOI Available PS Scenes
Scenes Intersecting
with OSM Mask for
Railway Vehicle
A PS scene intersecting
with OSM Mask chipped
into grids
Final Chips used for
annotation
Data Collection Funnel
Aircraft WatercraftBuilding Miscellaneous
Small
Aircraft
Passenger
Aircraft
Small
Boat
Maritime
Vessel
Cargo
Ship
Residential
Hotel
Restaurant
Office
Worship
Silo
Storage Tank
Railway
Vehicle
Swimming
Pool
Parking Lot
Baseball Field
Shipyard
Shipping
Container
Vehicle
Disasters Ontology (SS)
Aircraft WatercraftBuilding Miscellaneous
Small
Boat
Maritime
Vessel
Parking Lot
Shipyard
Disasters Ontology (PS)
Examples (Planes)
Examples (Railway Vehicles)
Examples (Buildings)
Planet
Number of Categories
DataSet Size
Planet
Number of Categories
DataSet Size
Characterizing Model Performance
Disaster
AOIs
Data
Collection
Data
Management
Model
Development
Model
Evaluation
Performance
Evaluation
Labelled
Chips
Labelled
Collections
Baseline
Model
Inferences
Ground
Truth
Engineering Workflow
Baseline Model Performance
Baseline Model Performance
Performance Characterization over different sizes
PR Curve for Models with different thresholds
Large Scale Datasets for Analytics on Satellite Imagery
Containers Rail cars
Ships
Cars
Buildings
Large Scale Datasets for Analytics on Satellite Imagery
Vessel_name: BIRITE OLDENDORFF
Callsign: CQIC5
Vessel_type: Cargo

Flag_country: Portugal

Destination: Oakland
Heavy Traffic
Light Traffic
Telemetry / Cellphone Data
Planet Offices
South Passage, Australia – October 1, 2015
Thank You! Reach out at gopal@planet.com
Open Positions:
Machine Learning Engineer
Software Engineer, Machine Learning Infrastructure
Full Stack Geospatial Engineer, Analytics Services
www.developers.planet.com | API Documentation
www.planet.com/markets/education-and-research | Research Projects
Planet Stories Blog
Spatiotemporal Analytics on Geospatial Imagery
Planet Developer Center and Data API
Education and Research using Planet Imagery
Additional Resources
Proprietary and Confidential - not to be distributed


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