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oakville-land-use-classification

Optimizing Deep Learning Models for Classifying Urban Land Cover.

https://github.com/dangeospatial/oakville-land-use-classification

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.8%) to scientific vocabulary

Keywords

land-use-classification planet-labs python pytorch satellite-imagery
Last synced: 6 months ago · JSON representation ·

Repository

Optimizing Deep Learning Models for Classifying Urban Land Cover.

Basic Info
  • Host: GitHub
  • Owner: DanGeospatial
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 73.2 KB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
land-use-classification planet-labs python pytorch satellite-imagery
Created about 2 years ago · Last pushed 8 months ago
Metadata Files
Readme Citation

README.md

Optimizing Land Use Classifications

A Python repository for testing land use classifications with PyTorch. Focused on the Town of Oakville in Ontario, Canada. Please note that this project is not funded by the Town of Oakville or affiliated with government employees.

Oakville - Copy

Introduction

Methodology

Results

Owner

  • Login: DanGeospatial
  • Kind: user
  • Location: Canada

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Nelson"
    given-names: "Daniel"
    orcid: "https://orcid.org/0009-0005-5200-6652"
title: "Oakville Land Use Classification"
version: 0.5
date-released: 2024-07-07
url: "https://github.com/DanGeospatial/Oakville-Land-Use-Classification"

GitHub Events

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