{
  "_meta": {
    "filled": 21,
    "filled_pct": 80,
    "progress_class": "warning",
    "schema": "sdohplace",
    "to_fill": 26
  },
  "access_rights": "Public",
  "alternative_title": [],
  "bounding_box": null,
  "centroid": null,
  "creator": [
    "Yujun Hou",
    "Matias Quintana",
    "Maxim Khomiakov",
    "Winston Yap",
    "Jiani Ouyang",
    "Koichi Ito",
    "Zeyu Wang",
    "Tianhong Zhao",
    "Filip Biljecki"
  ],
  "data_usage_notes": null,
  "data_variables": [
    "Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Platform, Weather, View direction, Lighting condition, Glare, Quality, Reflection, Panoramic status"
  ],
  "date_issued": null,
  "date_range": [],
  "description": [
    "Contains eight contextual attributes about conditions under which images were captured, inferred for each image."
  ],
  "display_note": [
    "Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included."
  ],
  "featured_variable": [],
  "file_size": null,
  "format": "CSV",
  "geometry": null,
  "georeferenced": false,
  "highlight_ids": [],
  "id": "herop-dztiqw",
  "identifier": [],
  "index_year": [
    2024
  ],
  "is_part_of": [],
  "is_replaced_by": [],
  "is_version_of": [
    "herop-blhoja"
  ],
  "keyword": [
    "Urban Environment"
  ],
  "language": [
    "eng"
  ],
  "license": [],
  "member_of": [],
  "metadata_version": "SDOH PlaceProject",
  "methods_variables": [],
  "modified": "2025-04-03T14:01:19Z",
  "preferred_citation": "Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes \u2014 A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023",
  "provider": "Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign",
  "publisher": [
    "National University of Singapore Urban Analytics Lab"
  ],
  "references": {
    "http://lccn.loc.gov/sh85035852": "https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592",
    "http://schema.org/downloadUrl": "https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data",
    "http://schema.org/url": "https://ual.sg/project/global-streetscapes/"
  },
  "relation": [],
  "replaces": [],
  "resource_class": [
    "Datasets"
  ],
  "resource_type": [
    "Point data",
    "Streetview photographs",
    "Table data"
  ],
  "rights": [
    "No use restrictions"
  ],
  "rights_holder": [
    "Hou et al (2024)"
  ],
  "source": [],
  "spatial_coverage": [
    "Global"
  ],
  "spatial_resolution": [
    "City"
  ],
  "spatial_resolution_note": null,
  "subject": [
    "Neighborhood and Built Environment"
  ],
  "suppressed": true,
  "temporal_coverage": [
    "2024"
  ],
  "theme": [
    "Imagery",
    "Society",
    "Structure"
  ],
  "title": "Global Streetscapes (Contextual)",
  "wxs_indentifier": null
}