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--- | ||
title: "AI-assisted \nmapping of <i class='far fa-building'></i> <i class='fas fa-shoe-prints'></i> \nfor OSM" | ||
format: | ||
revealjs: | ||
slide-number: true | ||
# self-contained: false | ||
navigation-mode: vertical | ||
# preview-links: auto | ||
# width: 1280 | ||
# height: 720 | ||
theme: [default, style.scss] #solarized # custom.scss # simple # serif | ||
footer: "These slides at <https://ciupava.github.io/talks/HOTwebinar_Dec2024/slides.html>" | ||
title-slide-attributes: | ||
data-background-image: "../images/black_background6.png" | ||
data-background-size: contain | ||
data-background-opacity: "0.9" | ||
date: "12/13/2024" | ||
date-format: long | ||
author: | ||
- "*Anna Zanchetta*" | ||
institute: | ||
- "The Alan Turing Institute" | ||
- "HOT Humanitarian OpenStreetMap Team" | ||
# css: style.scss | ||
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--- | ||
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# <i class='fa fa-map'></i> Introduction | ||
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<!-- <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css"> --> | ||
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## <i class='fa fa-map'></i> | ||
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:::: {.columns} | ||
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::: {.column width="15%"} | ||
::: | ||
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::: {.column width="30%"} | ||
<br/><br/> | ||
![](../images/TURINGlogo.png) | ||
::: | ||
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::: {.column width="10%"} | ||
::: | ||
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::: {.column width="30%"} | ||
<br/><br/><br/> | ||
![](../images/HOTlogoWHITE.png) | ||
::: | ||
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:::: | ||
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## <i class='fa fa-map'></i>{background-image="../images/fair_morewebpage.png" background-size="900px"} | ||
<i class='fa fa-compass'></i> fAIr | ||
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<br/><br/><br/><br/> | ||
<br/><br/><br/> | ||
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[https://fair-dev.hotosm.org/](https://fair-dev.hotosm.org/) | ||
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## <i class="fas fa-map"></i>{background-image="../images/MLmethod3.png" background-size="1250px"} | ||
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## <i class="fas fa-map"></i>{background-image="../images/oam_morewebpage.png" background-size="800px" background-color="black"} | ||
<i class="far fa-images"></i> RGB from OAM | ||
<br/><br/><br/><br/><br/><br/> | ||
<br/><br/><br/> | ||
[Open Aerial Map](https://openaerialmap.org/) | ||
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## <i class="fas fa-map"></i>{background-image="../images/labels_fair.png" background-size="1200px"} | ||
<i class="fas fa-home"></i> Labels from OSM | ||
<br/><br/><br/><br/><br/><br/> | ||
<br/><br/><br/> | ||
[Preprocessing fAIr website](https://fair-dev.hotosm.org/training-datasets) | ||
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<!-- # <i class="fas fa-server"></i> ML engine --> | ||
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<!-- # <i class="fas fa-graduation-cap"></i> Semantic segmentation --> | ||
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||
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## <i class='fa fa-map'></i>{background-image="../images/fair_sample1.png" background-size="1200px"} | ||
<i class="fas fa-lightbulb"></i> | ||
|
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## <i class='fa fa-map'></i>{background-image="../images/fair_sample1_pred.png" background-size="1200px"} | ||
<i class="fas fa-lightbulb"></i> | ||
|
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## <i class='fa fa-map'></i>{background-image="../images/fair_sample2.png" background-size="1200px" background-color="black"} | ||
<i class="fas fa-lightbulb"></i> | ||
|
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## <i class='fa fa-map'></i>{background-image="../images/fair_sample2_pred.png" background-size="1200px" background-color="black"} | ||
<i class="fas fa-lightbulb"></i> | ||
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## <i class='fa fa-map'></i>{background-image="../images/fair_sample2_pred.png" background-size="1200px" background-color="black"} | ||
<i class="fas fa-lightbulb"></i> | ||
<br/><br/><br/> | ||
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How accurate is fAIr in detecting buildings | ||
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in different conditions? | ||
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## <i class='fa fa-map'></i>{background-image="../images/metrics2.png" background-size="1200px"} | ||
<i class="fas fa-chart-line"></i> Metrics | ||
<br/><br/><br/><br/><br/><br/> | ||
<br/><br/><br/><br/> | ||
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Source: [https://metrics-reloaded.dkfz.de/metric-library](Metric reloaded, Reinke et al.) | ||
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## <i class='fa fa-map'></i>{background-image="../images/metrics3.png" background-size="1200px"} | ||
<i class="fas fa-chart-line"></i> Metrics | ||
<br/><br/><br/><br/><br/><br/> | ||
<br/><br/><br/><br/> | ||
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Source: [https://metrics-reloaded.dkfz.de/metric-library](Metric reloaded, Reinke et al.) | ||
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# <i class="fas fa-globe-africa"></i> Dataset | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_citieslocations.png"} | ||
<i class="fas fa-map-marker-alt"></i> Locations | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_byurbantype.png"} | ||
<i class="fas fa-list"></i> Degree of urbanity | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/urban1.png" background-color="black"} | ||
<i class='fa fa-university'></i> Rural | ||
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<br/> | ||
Desa Kulaba | ||
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[Indonesia] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/urban2.png"} | ||
<i class='fa fa-university'></i> Peri-urban | ||
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<br/> | ||
Ggaba | ||
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[Uganda] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/urban4.png" background-color="black"} | ||
<i class='fa fa-university'></i> Urban | ||
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<br/> | ||
Bogota | ||
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[Colombia] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/urban3.png" background-color="black"} | ||
<i class='fa fa-university'></i> Refugee camp | ||
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<br/> | ||
Kakuma | ||
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[Kenya] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_bycovertype.png"} | ||
<i class="fas fa-list"></i> Roof cover type | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/cover1.png"} | ||
<i class='fas fa-shapes'></i> Shingles | ||
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<br/> | ||
Silvania | ||
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[Brasil] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/cover2.png" background-color="black"} | ||
<i class='fas fa-shapes'></i> Metal | ||
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<br/> | ||
Ngaoundere | ||
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[Cameroon] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/cover3.png"} | ||
<i class='fas fa-shapes'></i> Cement | ||
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<br/> | ||
Melbourne | ||
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[Australia] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/cover4.png"} | ||
<i class='fas fa-shapes'></i> Mixed | ||
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<br/> | ||
Kutupalong | ||
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[Bangladesh] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_bydensity.png"} | ||
<i class="fas fa-list"></i> Urban density | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/density1.png" background-color="black"} | ||
<i class='fa fa-th'></i> Dense | ||
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<br/> | ||
Montevideo | ||
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[Uruguay] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/density3.png"} | ||
<i class='fa fa-th'></i> Sparse | ||
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<br/> | ||
Gornja Rijeka | ||
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[Croatia] | ||
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## <i class="fas fa-globe-africa"></i>{background-image="../images/density2.png"} | ||
<i class='fa fa-th'></i> Grid | ||
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<br/> | ||
Quincy | ||
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[USA] | ||
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# <i class="fas fa-hand-point-down"></i> Results | ||
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## <i class="fas fa-hand-point-down"></i> | ||
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:::: {.columns} | ||
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::: {.column width="35%"} | ||
::: | ||
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::: {.column width="50%"} | ||
<br/><br/> | ||
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<i class="far fa-square"></i> Urbanity | ||
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<i class="far fa-square"></i> Roof type | ||
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<i class="far fa-check-square"></i> Density | ||
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::: | ||
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::: {.column width="15%"} | ||
::: | ||
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:::: | ||
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## <i class="fas fa-hand-point-down"></i>{background-image="../images/plot_map_density2.png" background-size="800px"} | ||
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## <i class="fas fa-hand-point-down"></i>{background-image="../images/plot_map_density2_withscore.png" background-size="800px"} | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Banyuwangi1.png" background-size="1200px"} | ||
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<br/> | ||
Banyuwangi | ||
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[Indonesia] | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Banyuwangi1_pred.png" background-size="1200px"} | ||
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<br/> | ||
Banyuwangi | ||
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[Indonesia] | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Banyuwangi2.png" background-size="1200px"} | ||
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<br/> | ||
Banyuwangi | ||
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[Indonesia] | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Banyuwangi2_pred.png" background-size="1200px"} | ||
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<br/> | ||
Banyuwangi | ||
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[Indonesia] | ||
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||
|
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Pallaby1.png" background-size="1200px"} | ||
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<br/> | ||
Pallaby, Dhaka | ||
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[Bangladesh] | ||
|
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Pallaby1_pred.png" background-size="1200px"} | ||
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<br/> | ||
Pallaby, Dhaka | ||
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[Bangladesh] | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Pallaby3.png" background-size="1200px"} | ||
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<br/> | ||
Pallaby, Dhaka | ||
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[Bangladesh] | ||
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## <i class="far fa-thumbs-down"></i>{background-image="../images/Pallaby3_pred.png" background-size="1200px"} | ||
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<br/> | ||
Pallaby, Dhaka | ||
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[Bangladesh] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Denver_pred.png" background-size="1200px"} | ||
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<br/> | ||
Denver | ||
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[USA] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Denver.png" background-size="1200px"} | ||
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<br/> | ||
Denver | ||
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[USA] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Pergamino.png" background-size="1200px"} | ||
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<br/> | ||
Pergamino | ||
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[Argentina] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Pergamino_pred.png" background-size="1200px"} | ||
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<br/> | ||
Pergamino | ||
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[Argentina] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Kakuma.png" background-size="1200px"} | ||
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<br/> | ||
Kakuma | ||
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[Kenya] | ||
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## <i class="far fa-thumbs-up"></i>{background-image="../images/Kakuma_pred.png" background-size="1200px"} | ||
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<br/> | ||
Kakuma | ||
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[Kenya] | ||
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# <i class="fas fa-praying-hands"></i> THANK YOU {background-image="../images/black_background.jpg" background-color="black"} | ||
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<br/><br/><br/><br/> | ||
<i class='fa fa-at'></i> | ||
<br/> | ||
Code [https://github.com/ciupava/fAIr-utilities](https://github.com/ciupava/fAIr-utilities) | ||
<br/> | ||
fAIr website [https://fair.hotosm.org/](https://fair.hotosm.org/) | ||
<br/> | ||
Link to this presentation <i class="fas fa-angle-down"></i> |