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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
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
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