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_posts/2024/07/2024-07-09-uav-billboards-detection.md renamed to _posts/2024/07/2024-07-09-mapping-urban-advertising.md

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@@ -4,7 +4,7 @@ title: "Mapping urban large-area advertising structures using drone imagery and
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author: [ptak-bartosz, kraft-marek]
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modified: 2024-07-09
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tags: [uav, object detection, deep learning, gis, billboards]
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category: [publication, dataset]
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category: [publication]
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teaser: "/assets/images/posts/2024/07/uavbilly-thumb.webp"
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layout: single
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title: "UAVBillboard dataset"
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author: [ptak-bartosz, kraft-marek]
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modified: 2024-07-09
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tags: [uav, object detection, deep learning, gis, billboards]
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category: [dataset]
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teaser: "/assets/images/posts/2024/07/uav-billboards-thumb.webp"
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---
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<p align="center">
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<img src="/assets/images/posts/2024/07/uav-billboards-header.webp" height="300px" />
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</p>
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TL;DR; The dataset contains 1361 images supplemented with additional spatial metadata, together with 5210 annotations in a COCO-like format.
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<p align="center">
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<img src="/assets/images/posts/2024/07/uav-billboards-stats.webp" height="300px" />
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</p>
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Check the project webageo: [https://putvision.github.io/UAVBillboards/](https://putvision.github.io/UAVBillboards/)
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