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01hotosm /vhr-building-segmentation HOT Building Segmentation Dataset Dataset Description A semantic segmentation dataset for building footprint extraction from aerial imagery, built from validated Humanitarian OpenStreetMap Team (HOT) Tasking Manager projects that use OpenAerialMap (OAM) imagery. Dataset Summary This dataset pairs 256x256 aerial image tiles (zoom level 19) from OpenAerialMap with building footprint labels from OpenStreetMap. All source projects have been fully… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/vhr-building-segmentation.geospatialimage-segmentation10K<n<100K4 likes589 downloads5mo agoHugging Face02hotosm /nepal_flood_2026 Nepal Flood 2026, Upper Trishuli and Bhote Koshi Corridor Building inventory for the 26 August 2026 flash flood on the Nepal-China border. AOI: 1 km buffer around the Bhote Koshi and Trishuli river centrelines, 132.93 km² across Nuwakot and Rasuwa districts. Tasking Manager project 62904. Contents upperstream/buildings.geojson (+ .parquet): 13,663 footprints upperstream/building_density_h3_r8.geojson (+ .parquet): buildings per H3 res 8 cell (~0.7 km²)… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/nepal_flood_2026.geospatial10K<n<100K0 likes125 downloads28d agoHugging Face03hotosm /streetlevel-poles Street-level Poles & Towers Object detection dataset of utility poles and towers in street-level imagery. Curated by UC Berkeley as part of the HOT-OSM YOLO experiments. This release packages the working set in three compatible layouts: HuggingFace parquet (default loader): images embedded as bytes with COCO-style boxes (x, y, w, h in pixels), class labels, and per-image source metadata. Loadable with datasets.load_dataset(...). COCO JSON under coco/instances_{train,val… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/streetlevel-poles.imageobject-detection1K<n<10K1 likes111 downloads2mo agoHugging Face04hotosm /vhr-highway-segmentation VHR Highway Segmentation Road centreline training data at very high resolution. Aerial imagery tiles from OpenAerialMap paired with OpenStreetMap highway geometries, covering every validated OAM road-mapping project on the HOT Tasking Manager from the last five years. The building counterpart is hotosm/vhr-building-segmentation. Both index tiles by tile_id, so they can be joined for multi-task training. Usage from datasets import load_dataset ds =… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/vhr-highway-segmentation.imageimage-segmentation10K<n<100K0 likes37 downloads2mo agoHugging Face05electricsheepafrica /nigeria-education-facilities-hotosm Nigeria Educational Facilities (HOTOSM) | Africa (Electric Sheep Africa metadata inventory) Size category: 1K<n<10K - Formats: parquet - Sector: education - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Education… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigeria-education-facilities-hotosm.tabulartabular-classification1K<n<10K0 likes25 downloads1mo agoHugging Face06electricsheepafrica /nigeria-railway-network-hotosm Nigeria Railway Network (HOTOSM) | Africa (Electric Sheep Africa metadata inventory) Size category: 1K<n<10K - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigeria-railway-network-hotosm.tabulartabular-classification1K<n<10K0 likes21 downloads1mo agoHugging Face07hotosm /fAIr-guru-td-highways HOT OAM Segmentation Dataset Semantic segmentation training data. Aerial imagery tiles from OpenAerialMap paired with OpenStreetMap labels, drawn from HOT Tasking Manager projects. The labelled feature is recorded in the feature_type column and in the generated statistics below. Structure One row per image tile. Column Description image 256x256 RGB aerial chip, georeferenced mask Binary raster, 0 background, 255 feature. Empty when the feature is not… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/fAIr-guru-td-highways.imageimage-segmentationn<1K0 likes18 downloads2mo agoHugging Face08hotosm /fAIr-guru-td-buildings HOT OAM Segmentation Dataset Semantic segmentation training data. Aerial imagery tiles from OpenAerialMap paired with OpenStreetMap labels, drawn from HOT Tasking Manager projects. The labelled feature is recorded in the feature_type column and in the generated statistics below. Structure One row per image tile. Column Description image 256x256 RGB aerial chip, georeferenced mask Binary raster, 0 background, 255 feature. Empty when the feature is not… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/fAIr-guru-td-buildings.imageimage-segmentationn<1K0 likes12 downloads2mo agoHugging Face09hotosm-ops /streetlevel-polesimage0 likes4 downloads4mo agoHugging Face

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