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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01NoeFlandre /osm-polygon-wikidata-only OSM Polygon Wikidata, Wikipedia and Wikivoyage OSM polygons carrying wikidata=*, enriched with multilingual Wikipedia and Wikivoyage documents. The published tables preserve regional records and provenance. Source code: GitHub repository. Dataset snapshot Metric Value Polygon rows across regional extracts 1,184,110 Unique polygon identities (osm_type, osm_id) 1,157,841 Polygons with successful non-empty text (unique OSM identities) 650,663… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-wikidata-only.image10M<n<100M1 likes9.6k downloads3d agoHugging Face02junafinity /osmqwopus-dflash-article-assetsimagen<1K0 likes317 downloads4mo agoHugging Face03warmhammer /OSMa-Bench_dataset OSMa-Bench Dataset Project Page | Paper | Code OSMa-Bench (Open Semantic Mapping Benchmark) dataset is a fully automatically generated dataset for evaluating the robustness of open semantic mapping and segmentation systems under varying indoor lighting conditions and robot movement dynamics. This dataset is part of OSMa-Bench pipeline. Dataset Summary This dataset provides simulated RGB-D and semantically annotated posed sequences for evaluation of semantic mapping and… See the full description on the dataset page: https://huggingface.co/datasets/warmhammer/OSMa-Bench_dataset.imagerobotics0 likes155 downloads8mo agoHugging Face04NoeFlandre /osm-polygon-image-tag OSM Polygon Image Tag This dataset connects OpenStreetMap polygons to image references found in their tags. It contains closed ways and relations only. The release has three files: polygons: one current row per OSM type and ID, including its geometry and all original tags. images: one row for each unique provider image. It keeps the provider's reference and, when available, a direct image URL. polygon_images: the links between features and images. This is a separate file. One… See the full description on the dataset page: https://huggingface.co/datasets/NoeFlandre/osm-polygon-image-tag.image1M<n<10M1 likes127 downloads1mo agoHugging Face05IGNF /FLAIR_1_osm_clip Dataset Card for "FLAIR_OSM_CLIP" Dataset for the Seg2Sat model: https://github.com/RubenGres/Seg2Sat Derived from FLAIR#1 train split. This dataset incudes the following features: image: FLAIR#1 .tif files RBG bands converted into a more managable jpg format segmentation: FLAIR#1 segmentation converted to JPG using the LUT from the documentation metadata: OSM metadata for the centroid of the image clip_label: CLIP ViT-H description class_rep: ratio of appearance of each class in… See the full description on the dataset page: https://huggingface.co/datasets/IGNF/FLAIR_1_osm_clip.image10K<n<100K5 likes81 downloads2y agoHugging Face06dijitaltarimkutuphanesi /OsmanlicaEkmekveNisastaKitabi Osmanlıca Ekmek ve Nişasta Kitabı Veri Seti Bu veri seti, 1331 (1915) yılında Matbaa-i Âmire tarafından basılan, İzmir mebusu ve Dârülmuallimât sanayi-i ziraiye muallimi İhsan Bey tarafından yazılan "Kadınlara Amelî Sanayi-i Ziraiye Dersleri: Cüz 5 - Ekmek ve Nişastacılık Sanatı" kitabının görsellerini, Osmanlıca transkripsiyonunu ve (parantez içinde) günümüz Türkçesi sadeleştirmelerini/çevirilerini içerir. Veri Seti Yapısı image: Kitap sayfasının orijinal yüksek… See the full description on the dataset page: https://huggingface.co/datasets/dijitaltarimkutuphanesi/OsmanlicaEkmekveNisastaKitabi.imageimage-to-textn<1K0 likes77 downloads2mo agoHugging Face07OttomanNLP /OsmanlicaEkmekveNisastaKitabi Osmanlıca Ekmek ve Nişasta Kitabı Veri Seti Bu veri seti, 1331 (1915) yılında Matbaa-i Âmire tarafından basılan, İzmir mebusu ve Dârülmuallimât sanayi-i ziraiye muallimi İhsan Bey tarafından yazılan "Kadınlara Amelî Sanayi-i Ziraiye Dersleri: Cüz 5 - Ekmek ve Nişastacılık Sanatı" kitabının görsellerini, Osmanlıca transkripsiyonunu ve (parantez içinde) günümüz Türkçesi sadeleştirmelerini/çevirilerini içerir. Veri Seti Yapısı image: Kitap sayfasının orijinal yüksek… See the full description on the dataset page: https://huggingface.co/datasets/OttomanNLP/OsmanlicaEkmekveNisastaKitabi.imageimage-to-textn<1K0 likes60 downloads2mo agoHugging Face08NoeFlandre /osm-polygon-wikidata-and-wikipedia-trackio-dataimagen<1K0 likes55 downloads1mo agoHugging Face09lebfla11 /osm-europe-1k OSM-Europe-1k A 1,000-image street-level geolocation benchmark for Europe, sampled from the OpenStreetView-5M (OSV-5M) test split. Intended as a contamination-free, openly-licensed reference set for evaluating image→GPS models. Companion benchmark to a master's thesis at FH JOANNEUM (Florian Leber, 2026). What's in this repo: The 1,000 OSM/Mapillary image bytes are bundled directly under images/ (66 MB) — re-distribution is allowed by the upstream CC-BY-SA 4.0 license, with… See the full description on the dataset page: https://huggingface.co/datasets/lebfla11/osm-europe-1k.imageimage-classification1K<n<10K1 likes53 downloads5mo agoHugging Face10NoeFlandre /osm-polygon-wikidata-only-trackio-dataimagen<1K0 likes49 downloads2mo agoHugging Face11mbilir /Osmanlica_Nufus_Defteri Devlet Arşivlerinde (BOA NFS-d 01237) Numarası İle Kayıtlı Nüfus Defteri Veri Seti Bu veri setinin içeriğini oluşturduğu defter, Cumhurbaşkanlığı Osmanlı Arşivi’nde Nüfus Defterleri arasında, 1237 numara ile kayıtlıdır. 314 varaktan ibarettir. Deftere kayıtlı İvrindi'ye bağlı olan 70’ten fazla yerleşim yerinde 683 hanede 1614 kişi kayıtlıdır. Nüfusa göre en kalabalık yerler Akgedik, Dereçayır, Kocakışla, Kutludüğün, Gebeçınar, Akçal’dır. Bu köylerde sabi nüfus da sayı… See the full description on the dataset page: https://huggingface.co/datasets/mbilir/Osmanlica_Nufus_Defteri.imageimage-to-textn<1K0 likes42 downloads2mo agoHugging Face12mozilla-ai /osm-swimming-pools osm-swimming-pools Detect swimming_pools in satellite images. Created with osm-ai-helper. TRAIN_AREA: Galicia VAL_AREA: Viana do Castelo Ground Truth Bounding Boxes Downloaded from OpenStreetMap. LICENSE: https://www.openstreetmap.org/copyright Used the leisure=swimming_pool OpenStreetMap tags. Discarded the elements matching {'location': 'indoor'}. Satellite Images Downloaded from Mapbox. LICENSE:… See the full description on the dataset page: https://huggingface.co/datasets/mozilla-ai/osm-swimming-pools.imageobject-detection1K<n<10K4 likes34 downloads2y agoHugging Face13solo2307 /osm-sketchmaps Hand-Drawn Sketch Maps on OpenStreetMap Basemaps Overview This dataset contains hand-drawn annotations over OpenStreetMap (OSM) basemaps created for evaluating automatic extraction of user-added markings in participatory mapping workflows. It is provided as the review subset accompanying an anonymous research submission. The goal is to detect newly drawn markings (e.g., lines, symbols, shapes) added by participants on printed maps and later digitized through scanning or… See the full description on the dataset page: https://huggingface.co/datasets/solo2307/osm-sketchmaps.imageobject-detection1K<n<10K0 likes16 downloads7mo agoHugging Face14osmr /ghibliimagen<1K0 likes12 downloads1y agoHugging Face15anas-osman /ChartFormerimage1K<n<10K0 likes9 downloads2y agoHugging Face16mlhamel /osm-swimming-pools osm-swimming-pools Detect swimming_pools in satellite images. Created with osm-ai-helper. Ground Truth Bounding Boxes Downloaded from OpenStreetMap. LICENSE: https://www.openstreetmap.org/copyright Used the leisure=swimming_pool OpenStreetMap tags. Discarded the elements matching {'location': 'indoor'}. Satellite Images Downloaded from Mapbox. LICENSE: https://docs.mapbox.com/data/tilesets/guides/imagery/#trace-satellite-imagery Used a zoom level of 18.imageobject-detection1K<n<10K0 likes6 downloads1y agoHugging Face17osmr /animegirlsimagen<1K0 likes4 downloads1y agoHugging Face18osmedi /helvipad HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation The Helvipad dataset is a real-world stereo dataset designed for omnidirectional depth estimation. It comprises 39,553 paired equirectangular images captured using a top-bottom 360° camera setup and corresponding pixel-wise depth and disparity labels derived from LiDAR point clouds. The dataset spans diverse indoor and outdoor scenes under varying lighting conditions, including night-time environments.… See the full description on the dataset page: https://huggingface.co/datasets/osmedi/helvipad.imagedepth-estimation10K<n<100K0 likes8mo agoHugging Face

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