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Alaska Fisheries Science Center Metadata Librar... > National Marine Mammal Laboratory > Polar Ecosystems Program > KAMERA Test Flights 2019 >

A Dataset for Machine Learning Algorithm Development

Data Set (DS)  |  Alaska Fisheries Science Center (AFSC)
GUID: gov.noaa.nmfs.inport:63322  |  Updated: August 9, 2022  |  Published / External 
Short Citation:
Full Citation Examples
Alaska Fisheries Science Center, 2023: A Dataset for Machine Learning Algorithm Development, https://www.fisheries.noaa.gov/inport/item/63322.

Item Identification

Title: A Dataset for Machine Learning Algorithm Development
Status: Completed
Creation Date: 2020
Publication Date: 2021
Abstract:

This dataset consists of imagery, imagery footprints, associated ice seal detections and homography files associated with the KAMERA Test Flights conducted in 2019. This dataset was subset to include relevant data for detection algorithm development. This dataset is limited to data collected during flights 4, 5, 6 and 7 from our 2019 surveys.
Purpose:

To develop machine learning algorithms for detecting ice seals and classifying ice seal species using IR and RGB imagery.

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
aerial imaging development
aerial imaging test flights
Integrated Taxonomic Information systems (ITIS) bearded seal
Integrated Taxonomic Information systems (ITIS) polar bear
Integrated Taxonomic Information systems (ITIS) ringed seal

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
Geographic Names Information System Alaska
Geographic Names Information System Beaufort Sea
Geographic Names Information System Chukchi Sea
Geographic Names Information System Kotzebue Sound

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
aerial imaging KAMERA
aerial imaging multispectral imaging
aerial imaging Thermal

Physical Location

Organization: Alaska Fisheries Science Center
City: Seattle
State/Province: WA
Country: USA

Data Set Information

Data Set Scope Code: Non-Geographic Data Set
Data Set Type: Imagery
Maintenance Frequency: None Planned
Data Presentation Form: Image (digital)
Entity Attribute Overview:

This dataset consists of several products associated with the IR and RGB imagery collected during flights 4, 5, 6 and 7 from our 2019 surveys.

Support Roles

Data Steward

CC ID: 998994
Date Effective From: 2019
Date Effective To:
Contact (Person): Hardy, Stacie
Address: 7600 Sand Point Way NE
Seattle, WA 98115-6349
Email Address: Stacie.Hardy@noaa.gov
Phone: 206-526-6433

Principal Investigator

CC ID: 998993
Date Effective From: 2019
Date Effective To:
Contact (Person): Moreland, Erin
Email Address: erin.moreland@noaa.gov

Extents

Currentness Reference: Publication Date

Access Information

Security Class: Unclassified
Data Access Procedure:

Data are available for download from the Labeled Information Library of Alexandria: Biology and Conservation (LILA BC) site.
Data Access Constraints:

There are no data access constraints.
Data Use Constraints:

There are no data use constraints.

Distribution Information

Distribution 1

CC ID: 999220
Start Date: 2021
End Date: Present
Download URL: http://lila.science/datasets/noaa-arctic-seals-2019/
Distributor:

Data Quality

Quality Control Procedures Employed:

Data have been reviewed for errors and gross anomalies. Known issues in the data have been corrected.

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity Homography Files
Entity Ice Seal Detections
Entity Image Footprints
Entity Test Flight Imagery

Catalog Details

Catalog Item ID: 63322
GUID: gov.noaa.nmfs.inport:63322
Metadata Record Created By: Stacie Hardy
Metadata Record Created: 2020-12-16 22:25+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2021-03-08
Owner Org: AFSC
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2021-03-08
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2022-03-08