From f178600e9f3c8d4f4ad3f15eb3894a6bec1576ab Mon Sep 17 00:00:00 2001 From: Gordon McDonald Date: Tue, 10 Mar 2026 12:16:57 +1100 Subject: [PATCH] Update index.html --- index.html | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/index.html b/index.html index 77a3a10..b0ad774 100644 --- a/index.html +++ b/index.html @@ -65,9 +65,8 @@ Models can be fine tuned on Google Colab free T4 GPUs, but larger datasets and longer runs should run on other compute platforms.

Inference and postprocessing both benefit from CUDA GPUs.

aigis datasets

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Explore our two featured example datasets using a Felt map.

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felt_map -To load the matching NSW SixMaps aerial photography you have to click 1. background layers, then select 2. NSW SixMaps, as in the image above.

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Explore our two featured example datasets using a PMTiles.io map or overlaid with NSW Sixmap aerial imagery.

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The datasets themselves are available on Huggingface Datasets

Building Segmentation

We've used the full aigis toolkit to fine tune segmentation models to detect and segment building outlines in aerial imagery. Our fine tuned model was then run on 37,000 high reslution aerial images across the entire Greater Sydney Urban area in New South Wales, Australia.

Our models's predictions are available as a shapefile in GeoParquet, with almost one million buildings.