No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Type: Preprint

Publication Date: 2017-01-01

Citations: 163

DOI: https://doi.org/10.48550/arxiv.1711.08536

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Regional biases in image geolocation estimation: a case study with the SenseCity Africa dataset 2024 Ximena Salgado Uribe
Martí Bosch
Jérôme Chenal
+ Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data 2023 Keziah Naggita
Julienne LaChance
Alice Xiang
+ Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems 2024 Michelle R. Greene
Mariam Josyula
Wentao Si
Jennifer Hart
+ Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science 2023 Krzysztof Janowicz
+ PDF Chat Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science 2023 Krzysztof Janowicz
+ PDF Chat To use or not to use proprietary street view images in (health and place) research? That is the question 2024 Marco Helbich
Matthew Danish
S.M. Labib
Britta Ricker
+ Understanding economic development in rural Africa using satellite imagery, building footprints and deep models 2022 Amna Elmustafa
Erik Rozi
Yutong He
Gengchen Mai
Stefano Ermon
Marshall Burke
David B. Lobell
+ Beyond Human Bias: Learning from CNNs’ Superior Insights in Satellite-Based Poverty Mapping 2024 Hamid Sarmadi
Ibrahim Wahab
Ola Hall
Thorsteinn Rögnvaldsson
Mattias Ohlsson
+ To use or not to use proprietary street view images in (health and place) research? That is the question 2024 Marco Helbich
Matthew Danish
S.M. Labib
Britta Ricker
+ PDF Chat Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery 2024 Miao Zhang
Rumi Chunara
+ Classification and geography 1973 Philip M. Lankford
R. Keith Semple
+ Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy 2023 Emily Aiken
Esther Rolf
Joshua Blumenstock
+ Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy 2023 Emily Aiken
Esther Rolf
Joshua Blumenstock
+ Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth 2020 Konstantin Klemmer
Godwin Yeboah
João Porto de Albuquerque
Stephen A. Jarvis
+ Seeing the Unseen: Errors and Bias in Visual Datasets 2022 Hongrui Jin
+ PDF Chat KidSat: satellite imagery to map childhood poverty dataset and benchmark 2024 Makkunda Sharma
Fan Yang
Duy-Nhat Vo
Esra Süel
Swapnil Mishra
Samir Bhatt
Oliver Fiala
William E. Rudgard
Seth Flaxman
+ PDF Chat Satellite Image and Machine Learning Based Knowledge Extraction in the Poverty and Welfare Domain 2022 Ola Hall
Mattias Ohlsson
Thorsteinn Rögnvaldsson
+ Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain 2022 Ola Hall
Mattias Ohlsson
Thortseinn Rögnvaldsson
+ PDF Chat Accounting for training data error in machine learning applied to Earth observations 2019 Arthur Elmes
Hamed Alemohammad
Ryan Avery
K. K. Caylor
Ronald J. Eastman
Lewis Fishgold
M. A. Friedl
Robert Gilmore Pontius
Meha Jain
Divyani Kohli
+ PDF Chat Accounting for Training Data Error in Machine Learning Applied to Earth Observations 2020 Arthur Elmes
Hamed Alemohammad
Ryan Avery
K. K. Caylor
J. Ronald Eastman
Lewis Fishgold
M. A. Friedl
Meha Jain
Divyani Kohli
Juan Carlos Laso Bayas