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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 likes730 downloads5mo agoHugging Face02kshitijrajsharma /hot-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 validated through… See the full description on the dataset page: https://huggingface.co/datasets/kshitijrajsharma/hot-building-segmentation.geospatialimage-segmentation10K<n<100K0 likes263 downloads6mo agoHugging Face03yuu1026 /nfu_buildingconfigs: config_name: default data_files: split: train path: data/train-* imageimage-to-text10K<n<100K2 likes109 downloads1y agoHugging Face04nave1616 /Building-Urban-Climate Urban Climate Dataset Dataset Description This dataset is part of the Urban Climate project. It contains satellite images of urban areas and corresponding segmentation masks that are used for building detection and segmentation tasks. Files and Structure: train/: Contains training images and masks. train/Image/: Original satellite images used for training. train/Mask/: Binary masks where buildings are labeled. validation/: Contains validation images and… See the full description on the dataset page: https://huggingface.co/datasets/nave1616/Building-Urban-Climate.image1K<n<10K1 likes106 downloads2y agoHugging Face05merve /satellite-building-segmentation Dataset Labels ['building'] Number of Images {'train': 6764, 'valid': 1934, 'test': 967} How to Use Install datasets: pip install datasets Load the dataset: from datasets import load_dataset ds = load_dataset("keremberke/satellite-building-segmentation", name="full") example = ds['train'][0] Roboflow Dataset Page https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1 Citation… See the full description on the dataset page: https://huggingface.co/datasets/merve/satellite-building-segmentation.imageimage-segmentation1K<n<10K0 likes106 downloads4mo agoHugging Face06FionnHughes /irish-building-energy-ratings Irish Building Energy Ratings (BER) Every BER cert ever issued in Ireland. About 1.4 million homes, 211 fields per cert: A-G rating, kWh/m²/yr, what fuel they burn, wall U-values, floor area, the lot. Why this dataset exists SEAI hides this data behind an ASP.NET form button on their BER Research Tool. Click "Download All Data" and you get a 250MB zipped tab-separated file. No API, no static URL you can curl. Annoying. So I scraped it and flattened it into a clean… See the full description on the dataset page: https://huggingface.co/datasets/FionnHughes/irish-building-energy-ratings.tabular1M<n<10M0 likes97 downloads15d agoHugging Face07tomascanivari /complete-buildings-extraction-coco-hfimage1K<n<10K0 likes64 downloads11mo agoHugging Face08samlucas /pc-building-egocentricimage1K<n<10K0 likes49 downloads5mo agoHugging Face09kingkim /DS_Building_SecurityManual_V2textn<1K0 likes45 downloads2y agoHugging Face10chandrabhuma /building_defect_vqa Building Defect VQA Dataset Dataset Description This dataset is a Visual Question Answering (VQA) version of the original BD3 (Building Defect Dataset). It is designed for training and evaluating Vision–Language Models (VLMs) on building defect recognition tasks. Each image is paired with a fixed question and a defect category as the answer. Dataset Structure Each sample contains: image: RGB image of a building surface question: "What type of building… See the full description on the dataset page: https://huggingface.co/datasets/chandrabhuma/building_defect_vqa.imagevisual-question-answering1K<n<10K1 likes43 downloads9mo agoHugging Face11makenomistakesllc /us-building-permits-16-cities Dataset Card: US Building Permits — 16 Cities 43,119 building/construction permits issued across 16 US cities over the 30 days ending 2026-09-22, normalized from each city's official open-data API (Socrata / ArcGIS / Carto). See README_permits.md for the full data card (provenance, collection method, known gaps, license) and SCHEMA_permits.md for the column dictionary. Fresh, scheduled data (including an incremental "new permits only" mode): the source Apify Actor at… See the full description on the dataset page: https://huggingface.co/datasets/makenomistakesllc/us-building-permits-16-cities.texttabular-classification10K<n<100K0 likes37 downloads2d agoHugging Face12electricsheepafrica /africa-synth-realestate-building-permits-nigeria Africa Synth Realestate Building Permits Nigeria | Africa (Electric Sheep Africa metadata inventory) Size category: 10K<n<100K - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-realestate-building-permits-nigeria.texttabular-classification10K<n<100K0 likes34 downloads2mo agoHugging Face13knockai /omega-globalml-buildingstabular10M<n<100M0 likes33 downloads1mo agoHugging Face14tomascanivari /buildings-extraction-coco-hf Building Extraction Dataset This dataset is a processed verison of the dataset of the Kaggle competition: https://www.kaggle.com/competitions/building-extraction-generalization-2024/. The original train and validation images and COCO annotations were resized to (512, 512). Then from the segmentations on the COCO annotations, a PIL_annotation file was created for each sample in which the Red channel corresponds to the semantic segmentation mask and the Green channel to the instance… See the full description on the dataset page: https://huggingface.co/datasets/tomascanivari/buildings-extraction-coco-hf.imageimage-segmentation1K<n<10K0 likes30 downloads11mo agoHugging Face15sqlrooms /buildingstext10K<n<100K0 likes30 downloads5mo agoHugging Face16maiqiandpeb /building-permits-browser-datageospatial10M<n<100M0 likes26 downloads1mo agoHugging Face17peyterho /google-my-buildingfootprinttabular10M<n<100M0 likes25 downloads5mo agoHugging Face18Alphonsce /buildingsDataset for buildings / city_landscapes classification, it has 53 labels: { 'autumn_city_street', 'cafe', 'cafe_building', 'car_in_city', 'cars_on_road', 'church_building', 'city_center', 'city_skyscrapers', 'construction', 'crowd_of_people', 'fountain', 'garden', 'garden_building', 'gothic_building', 'highway', 'hotel', 'lake', 'mansion', 'market', 'modern_bridge', 'modern_building', 'modern_city_street', 'monastery', 'monument', 'museum', 'night_city_street'… See the full description on the dataset page: https://huggingface.co/datasets/Alphonsce/buildings.image1K<n<10K0 likes24 downloads2y agoHugging Face19YUiCHl /building_scaletext10K<n<100K0 likes23 downloads3y agoHugging Face20harrydawitch /exterior-buildings-with-cannyimagetext-to-image10K<n<100K2 likes23 downloads2y agoHugging Face21KeepMouseMoving /grb_rural_building_maskedimagen<1K0 likes23 downloads1y agoHugging Face22yonggeun /korean-historical-building-image-caption-datasetimage10K<n<100K1 likes22 downloads2y agoHugging Face23chandrabhuma /multi_building_defect_vqaimage1K<n<10K0 likes21 downloads9mo agoHugging Face24alihmaou /bdnb_2023-11.a_rel_batiment_groupe_osm_building_19text1K<n<10K0 likes20 downloads2y agoHugging Face25electricsheepafrica /africa-mauritius-gfcf-in-the-manufacturing-sector-buildings-and-other-const-d0461e0b Gfcf in the Manufacturing Sector Buildings and Other Const | Africa (MDPA) 51 rows - 1 Africa country/area - 2006-2022 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 51 rows from MDPA, covering Gfcf in the Manufacturing Sector Buildings and Other Const. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-gfcf-in-the-manufacturing-sector-buildings-and-other-const-d0461e0b.tabulartabular-regressionn<1K0 likes19 downloads2mo agoHugging Face26NastaranTH /building_styles_datasetimagen<1K0 likes18 downloads1y agoHugging Face27tomascanivari /summer-buildings-extraction-coco-hfimage1K<n<10K0 likes18 downloads11mo agoHugging Face28Alphonsce /buildings_with_idimage1K<n<10K0 likes16 downloads2y agoHugging Face29KeepMouseMoving /grb_building_bboximagen<1K0 likes16 downloads1y agoHugging Face30electricsheepafrica /africa-mauritius-residential-amp-partly-residential-buildings-ever-affected-72bcef07 Residential Amp Partly Residential Buildings Ever Affected | Africa (MDPA) 187 rows - 1 Africa country/area - 2022 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 187 rows from MDPA, covering Residential Amp Partly Residential Buildings Ever Affected. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-residential-amp-partly-residential-buildings-ever-affected-72bcef07.tabulartabular-classificationn<1K0 likes16 downloads2mo agoHugging Face

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