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+
+/*-- scss:defaults --*/
+
+$fa-font-path: "bower/font-awesome/fonts";
+@import "bower/font-awesome/scss/variables";
+@import "bower/font-awesome/scss/mixins";
+@import "bower/font-awesome/scss/path";
+@import "bower/font-awesome/scss/spinning";
+
+.reveal {
+  @import "bower/font-awesome/scss/core";
+  @import "bower/font-awesome/scss/larger";
+  @import "bower/font-awesome/scss/fixed-width";
+  @import "bower/font-awesome/scss/list";
+  @import "bower/font-awesome/scss/bordered-pulled";
+  @import "bower/font-awesome/scss/rotated-flipped";
+  @import "bower/font-awesome/scss/stacked";
+  @import "bower/font-awesome/scss/icons";
+}
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diff --git a/SoTM24/slides.md b/SoTM24/slides.md
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+---
+title: "Mapping <i class='far fa-building'></i> <i class='fas fa-shoe-prints'></i>  with fAIr"
+subtitle: "Assessing the performance of AI-assisted mapping of building footprints for 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 [ciupava.github.io/talks/SoTM24/slides.html](ciupava.github.io/talks/SoTM24/slides.html)"
+title-slide-attributes:
+  data-background-image: "../images/black_background6.png"
+  data-background-size: contain
+  data-background-opacity: "0.9"
+date: "2024-09-08"
+date-format: long
+author:
+  - "*Anna Zanchetta, Omran Najjar, Kshitij Sharma*"
+institute:
+  - "The Alan Turing Institute"
+  - "HOT Humanitarian OpenStreetMap Team"
+css: style.scss
+include-in-header: 
+  text: |
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css">
+
+---
+
+# <i class='fa fa-map'></i> Introduction
+
+## <i class='fa fa-map'></i>{background-image="../images/Intro_sotm.png" background-size="1200px"}
+
+
+
+## <i class='fa fa-map'></i>{background-image="../images/fair_morewebpage.png" background-size="800px"}
+<i class='fa fa-compass'></i> fAIr
+
+<br/><br/><br/><br/>
+<br/><br/><br/>
+
+[https://fair-dev.hotosm.org/](https://fair-dev.hotosm.org/)
+
+
+## <i class='fa fa-map'></i>{background-image="../images/fair_sample1.png" background-size="1200px"}
+<i class="fas fa-lightbulb"></i> Reason for research
+
+## <i class='fa fa-map'></i>{background-image="../images/fair_sample1_pred.png" background-size="1200px"}
+<i class="fas fa-lightbulb"></i> 
+
+## <i class='fa fa-map'></i>{background-image="../images/fair_sample2.png" background-size="1200px" background-color="black"}
+<i class="fas fa-lightbulb"></i> 
+
+## <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> 
+
+## <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/>
+
+How accurate is fAIr in detecting buildings
+
+in different conditions?
+
+
+
+# <i class="fas fa-search"></i> Methods
+
+## <i class='fa fa-search'></i>{background-image="../images/ramp_morewebpage.png" background-size="800px" background-color="black"}
+<i class="fas fa-server"></i> ML engine
+
+<br/><br/><br/><br/><br/><br/>
+<br/><br/><br/>
+
+[https://rampml.global/](https://rampml.global/)
+
+## <i class='fa fa-search'></i>{background-image="../images/ramp_effunet_morewebpage2.png" background-size="600px"}
+<i class="fas fa-server"></i> ML engine
+
+<br/><br/><br/><br/><br/><br/>
+<br/><br/><br/>
+
+[2020 paper by Baheti et al.](https://rampml.global/ramp-model-card/)
+
+
+## <i class="fas fa-search"></i>
+<i class="fas fa-table"></i> Data
+
+## <i class="fas fa-table"></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/)
+
+## <i class="fas fa-table"></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 through fAIr website](https://fair-dev.hotosm.org/training-datasets)
+
+## <i class="fas fa-search"></i>
+<i class="fas fa-globe-africa"></i> Dataset
+
+|[]()    |        |
+|--------|--------|
+| **Urban regions**  | 25   |
+| **Countries**  | 21   |
+| **Zoom levels**    |  19, 20, 21 | 
+| **N. images**   | 8400 <br> (~350 per region)  |
+| **Images size** | 256x256 |
+| **Resolution**  | cm |
+|[]()    |        |
+
+<!-- :  {tbl-colwidths="[70,30]"} -->
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_citieslocations.png"}
+<i class="fas fa-map-marker-alt"></i> Locations
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_byurbantype.png"}
+<i class="fas fa-list"></i> Categories
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/urban1.png" background-color="black"}
+<i class='fa fa-university'></i> Rural
+
+Desa Kulaba
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/urban2.png"}
+<i class='fa fa-university'></i> Peri-urban
+
+Ggaba
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/urban4.png" background-color="black"}
+<i class='fa fa-university'></i> Urban
+
+Bogota
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/urban3.png" background-color="black"}
+<i class='fa fa-university'></i> Refugee camp
+
+Kakuma
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_bycovertype.png"}
+<i class="fas fa-list"></i> Categories
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/cover1.png"}
+<i class='fas fa-shapes'></i>  Shingles
+
+Silvania
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/cover2.png" background-color="black"}
+<i class='fas fa-shapes'></i> Metal
+
+Ngaoundere
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/cover3.png"}
+<i class='fas fa-shapes'></i> Cement
+
+Melbourne
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/cover4.png"}
+<i class='fas fa-shapes'></i> Mixed
+
+Kutupalong
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/world_map_bydensity.png"}
+<i class="fas fa-list"></i> Categories
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/density1.png" background-color="black"}
+<i class='fa fa-th'></i> Dense
+
+Montevideo dense
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/density3.png"}
+<i class='fa fa-th'></i> Sparse
+
+Gornja Rijeka
+
+## <i class="fas fa-globe-africa"></i>{background-image="../images/density2.png"}
+<i class='fa fa-th'></i> Grid
+
+
+Quincy
+
+## <i class="fas fa-search"></i>
+<i class="fas fa-hourglass-half"></i> Training
+
+|[]()    |        |
+|--------|--------|
+| **Urban regions**  | all (25) |
+| **N. of epochs**  | 20   |
+| **Batch sizes**    |      4 <br> (2, 4, 8, 16) | 
+| **Accuracy metrics**   | 5 <br>Categorical accuracy, Precision,<br>Recall, F1 Score, IoU  |
+|[]()    |        |
+
+# <i class='fa fa-chart-bar'></i> Results
+
+## <i class='fa fa-chart-bar'></i>{background-image="../images/graph_sample.png" background-size="900px"}
+
+## <i class='fa fa-chart-bar'></i>{background-image="../images/graph_with_circle.png" background-size="900px"}
+
+## <i class='fa fa-chart-bar'></i>{background-image="../images/plot_map_density.png" background-size="800px"}
+~~<i class='fa fa-university'></i> Urbanity~~
+
+~~<i class='fas fa-shapes'></i> Roof type~~
+
+<i class='fa fa-th'></i> Density
+
+
+## <i class='fa fa-chart-bar'></i>{background-image="../images/plot_box_all.png" background-size="800px"}
+<i class='fa fa-puzzle-piece'></i>
+
+~~Batch size~~
+
+
+# <i class="fas fa-hand-point-down"></i> Conclusions
+
+## <i class="fas fa-hand-point-down"></i> Conclusions
+
+<br/><br/>
+
+:::: {.columns}
+
+::: {.column width="5%"}
+
+:::
+
+::: {.column width="15%"}
+
+<i class='fa fa-th'></i>
+
+:::
+
+::: {.column width="25%"}
+
+<i class="fas fa-border-all"></i>
+
+<em>4.8%</em>
+
+:::
+
+::: {.column width="15%"}
+
+:::
+
+::: {.column width="40%"}
+
+<i class="fas fa-braille"></i>
+
+<em>4.2%</em>
+
+:::
+
+::::
+
+<!-- ::: -->
+
+## <i class="fas fa-hand-point-down"></i> Conclusions
+<br/><br/>
+
+:::: {.columns}
+
+::: {.column width="5%"}
+
+:::
+
+::: {.column width="15%"}
+
+<i class='fa fa-th'></i>
+
+:::
+
+::: {.column width="25%"}
+
+<i class="fas fa-border-all"></i>
+
+<em>[4.8%]{style="color:#bfbfbf;"}</em>
+
+<em>7.7%</em>
+
+:::
+
+::: {.column width="15%"}
+
+[ooo]{style="color:white"}
+
+<em>[ooo]{style="color:white"}</em>
+
+<em>IoU</em>
+
+:::
+
+::: {.column width="40%"}
+
+<i class="fas fa-braille"></i>
+
+<em>[4.2%]{style="color:#bfbfbf;"}</em>
+
+<em>7.8%</em>
+
+:::
+
+::::
+
+## <i class="fas fa-hand-point-down"></i>{background-image="../images/banyuwangi_batch16.png" background-size="1100px"}
+<i class="fas fa-map-marked-alt"></i>
+
+Banyuwangi
+
+## <i class="fas fa-hand-point-down"></i>{background-image="../images/pallabi_batch16.png" background-size="1100px"}
+<i class="fas fa-map-marked-alt"></i>
+
+Pallaby Dhaka
+
+## <i class="fas fa-hand-point-down"></i>
+<i class="fas fa-rocket"></i> Future
+
+<br/>
+<br/>
+
+:::{.r-stack}
+<i class="fas fa-cogs"></i>  Models <br> <br><i class="fas fa-tree"></i> <i class="fas fa-water"></i>  Features
+:::
+
+
+# THANK YOU {background-image="../images/black_background.jpg" background-color="black"}
+<br/><br/>
+<i class='fa fa-at'></i>
+
+GitHub repo [https://github.com/ciupava/fAIr-utilities](https://github.com/ciupava/fAIr-utilities)
+<br/>
+fAIr website [https://fair-dev.hotosm.org/](https://fair-dev.hotosm.org/)
+<br/>
+This presentation <i class="fas fa-angle-down"></i>
+
+<!-- 
+# <i class='fa fa-align-left'></i> Summary
+
+## <i class='fa fa-align-left'></i> {.smaller}
+<br/><br/>
+
+:::: {.columns}
+
+::: {.column width="30%"}
+
+* <i class='fa fa-map'></i> Introduction
+    * <i class="fas fa-pepper-hot"></i> HOT and fAIr
+        <!-- -   <i class='fa fa-compass'></i> fAIr
+        -   <i class="fas fa-server"></i> ML model 
+    <!-- * <i class="fas fa-lightbulb"></i>  Reason for research -->
+
+<!-- :::
+
+::: {.column width="4%"}
+
+:::
+
+::: {.column width="30%"}
+
+* <i class="fas fa-search"></i> Methods
+    * <i class="fas fa-table"></i> Data
+      <!-- - <i class="far fa-images"></i> Chips, OAM
+      - <i class="fas fa-home"></i> Masks 
+    - <i class="fas fa-globe-africa"></i> Dataset
+      <!-- - <i class="fas fa-map-marker-alt"></i> Locations
+      - <i class="fas fa-list"></i> Categories 
+
+:::
+
+::: {.column width="3%"}
+
+:::
+
+::: {.column width="30%"}
+
+* <i class='fa fa-puzzle-piece'></i> Results
+    * <i class='fa fa-chart-bar'></i> Graphs
+    * <i class="fas fa-map-marked-alt"> </i> Cases
+
+:::
+
+:::: -->
\ No newline at end of file
diff --git a/SoTM24/style.scss b/SoTM24/style.scss
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index 0000000..deaa693
--- /dev/null
+++ b/SoTM24/style.scss
@@ -0,0 +1,48 @@
+/*-- scss:rules --*/
+#title-slide {
+  .title {
+      color: white;
+  }
+
+  .subtitle {
+    color: whitesmoke !important;
+    font-size: 48px;
+  }
+  
+  // .author {
+  //   color: rgb(221, 215, 215);
+  //   font-size: 40px;
+  // }
+  
+  // .institute {
+  //     color: rgb(221, 215, 215);
+  //     font-size: 30px !important;
+  // }
+
+  // .date {
+  //   color: rgb(181, 161, 161);
+  //   font-size: 25px;
+  // }
+
+  .author {
+    color: white;
+    font-size: 25px;
+    font-style: normal;
+  }
+  
+  .institute {
+      color: white;
+      font-size: 30px !important;
+  }
+
+  .date {
+    color: white;
+    font-size: 25px;
+  }
+}
+
+em {
+  font-style:unset;
+  font-family:'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
+  font-size: 200%;
+}
diff --git a/images/Intro_sotm.png b/images/Intro_sotm.png
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