From d5143724a2fd930c211cb63dfcab5dc156bfb930 Mon Sep 17 00:00:00 2001 From: Maximilian Kleebauer <33054921+Kleebaue@users.noreply.github.com> Date: Tue, 20 Feb 2024 12:01:38 +0100 Subject: [PATCH] added solar pv segmentation model added model and publication link to model zoo --- docs/source/main/model_zoo/MODEL_ZOO.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/main/model_zoo/MODEL_ZOO.md b/docs/source/main/model_zoo/MODEL_ZOO.md index 6f155e5..78305bf 100644 --- a/docs/source/main/model_zoo/MODEL_ZOO.md +++ b/docs/source/main/model_zoo/MODEL_ZOO.md @@ -17,6 +17,7 @@ The [Model ZOO](https://chmura.put.poznan.pl/s/2pJk4izRurzQwu3) is a collection | [Agriculture segmentation RGB+NIR](https://chmura.put.poznan.pl/s/wf5Ml1ZDyiVdNiy) | 256 | 30 | Trained on the [Agriculture Vision 2021 dataset](https://www.agriculture-vision.com/agriculture-vision-2021/dataset-2021). 4 channels input (RGB + NIR). 9 output classes within agricultural field (weed_cluster, waterway, ...). Uses X-UNet. | [Image](https://chmura.put.poznan.pl/s/35A5ISUxLxcK7kL) | | [Fire risk assesment](https://chmura.put.poznan.pl/s/NxKLdfdr9s9jsVA) | 384 | 100 | Trained on the FireRisk dataset (RGB data). Classifies risk of fires (ver_high, high, low, ...). Uses ConvNeXt XXL. Val F1-score 65.5. | [Image](https://chmura.put.poznan.pl/s/Ijn3VgG76NvYtDY) | | [Roads Segmentation](https://chmura.put.poznan.pl/s/y6S3CmodPy1fYYz) | 512 | 21 | The model segments the Google Earth satellite images into 'road' and 'not-road' classes. Model works best on wide car roads, crossroads and roundabouts. | [Image](https://chmura.put.poznan.pl/s/rln6mpbjpsXWpKg) | +| [Solar PV Segmentation](https://owncloud.fraunhofer.de/index.php/s/Ph9TC6BTxPi5oZZ) | 512 | 3 | Model trained by M Kleebauer et al. in "[Multi-resolution segmentation of solar photovoltaic systems using deep learning](https://www.mdpi.com/2596164) on a diverse range of image data, spanning UAV, aerial, and satellite imagery at both native and aggregated resolutions of 0.1 m, 0.2 m, 0.3 m, 0.8 m, 1.6 m, and 3.2 m. | [Image](https://github.com/Kleebaue/multi-resolution-pv-system-segmentation/blob/main/figures/prediction_multi_res.png) | ## Regression models