Description on the first web page

[Ettrig]

The first page is important. We want the user to get a clear understanding of what the tool can do and a positive assessment of its value. Background is much less important.

"open AI-assisted mapping service": Here "open" probably is intended to say FOSS. But the service is not FOSS, although the SW that it is based on is. "AI-assisted mapping service" is an overly convoluted way of saying that it performs mapping.

"roads, waterways, and trees": This is false. Hopefully it will be true, but right now it is not.

"specifically computer vision techniques": provides almost no information.

"satellite and UAV imagery": fAIr does not support use of satellite imagery

"f: for freedom and free and open-source software": "freedom" is not informative, FOSS is very important to me, but still rather background than central information about fAIr.

"r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping": Provides very close to no information at all about fAIr.

"fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes. The service uses AI models, specifically computer vision techniques, to detect objects such as buildings, roads, waterways, and trees from satellite and UAV imagery. The name fAIr is derived from the following terms:

f: for freedom and free and open-source software
AI: for Artificial Intelligence
r: for resilience and our responsibility for our communities and the role we play within humanitarian mapping

Suggested replacement:

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.

[edenxcodes]

Hello @kshitijrajsharma , I would love to contribute to this issue. Please assign it to me.