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Self-Supervised Image Classification [dataset] Open Access

This collection contains data and models for the Self-Supervised Classification workflow. Further information, and Python code, can be found in this GitHub repository: https://github.com/geojames/Self-Supervised-Classification

Descriptions

Resource type

Dataset

Contributors

Creator: Carbonneau, Patrice ¹
Data collector: Dugdale, Steve ²
Data collector: Miyamoto, Hitoshi ³
Data collector: Woodget, Amy ⁴
Data collector: Fonstad, Mark ⁵
Data collector: Dietrich, James ⁶
Data collector: Breckon, Toby ⁷

¹ Durham University, UK
² Nottingham University, UK
³ Shibaura Institute of Tech., Japan
⁴ Loughborough University, UK
⁵ University of Oregon
⁶ University of Northern Iowa
⁷ Durham University

Funder

GEOSALAR project
NSERC/CRSNG HydroNet Strategic Network
AMBER, EU horizon 2020 program
University or Worcester
Japanese Society for the Promotion of Science
National Science Foundation
British Society for Geomorphology
Tokyo foundation
University of Oregon

Research methods

Deep Learning and Machine Learning

Other description

Keyword

Deep Learning
Land-cover classification
Machine Learning
Hyperspatial Imagery
UAV imagery
Airborne imagery
Fluvial Remote Sensing

Subject

Deep Learning

Location

Language

Cited in

Identifier

ark:/32150/r2j67313813
doi:10.15128/r2j67313813

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

File Details

Depositor

N. Syrotiuk

Date Uploaded

5 June 2019, 13:06:20

Date Modified

17 June 2019, 10:06:03

Audit Status

Audits have not yet been run on this file.

Characterization

File format: zip (ZIP Format)

Mime type: application/zip

File size: 4768753086

Last modified: 2019:06:17 10:56:54+01:00

Filename: ResearchData.zip

Original checksum: e0d8a5a07f2dc5be665228af57e1b8a0