From 1ce3e2d960be9fe9eff43b7d71223942ebe793dc Mon Sep 17 00:00:00 2001
From: Eden Oluigbo <97955302+edenxcodes@users.noreply.github.com>
Date: Sun, 3 Mar 2024 08:21:42 +0100
Subject: [PATCH] Change to the Home page.

---
 docs/Home.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/docs/Home.md b/docs/Home.md
index 1574829c..a2d03545 100644
--- a/docs/Home.md
+++ b/docs/Home.md
@@ -2,6 +2,13 @@
 
 ## _**What are the challenges that mappers experience while utilizing AI data on OpenStreetMap?**_
 
+- ### Overview
+  fAIr does mapping in the same way as human mappers using HOTs Tasking Manager. It looks at UAV imagery and produces map data that can be added to the OSM. Tests show a 100% speedup compared to manual mapping. It uses Artificial Intelligence (AI) to accomplish this.
+
+  fAIr is developed by the Humanitarian OpenStreetMap Team and all the software is free and open source.
+
+  Before fAIr is used it needs to be fine-tuned by training on high quality map data for a small representative part of the geographical region where it is to be used.
+  
 - ### Quality of AI Data
   One of the primary challenges faced by mappers when using AI data on OpenStreetMap is the quality of the data. The accuracy and completeness of AI data depends on the quality of the training data used to train the AI model. If the training data is biased or incomplete, the AI model will produce inaccurate results and this has happened in some cases especially with roads. Mappers must therefore carefully assess the quality of the AI data before adding it to OSM.
 - ### Data integration process.