datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
google-streetview-images-by-country
Dataset Card for google streetview images by country
⚠️ There are still images that should be deleted, such as those with tags or those that didn't load correctly.
Dataset Structure
folder with the individual countries
images have the creation date and the map name in the file name.
Dataset Card Contact
use the community section
images per country
StreetView360AtoZStreetView 360X is a dataset containing 6342 360 degree equirectangular street view images randomly sampled and downloaded from Google Street View. It is published as part of the paper "StreetView360X: A Location-Conditioned Latent Diffusion Model for Generating Equirectangular 360 Degree Street Views" (Princeton COS Senior Independent Work by Everett Shen). Images are labelled with their capture coordinates and panorama IDs. Scripts for extending the dataset (i.e. fetching additional images)… See the full description on the dataset page: https://huggingface.co/datasets/everettshen/StreetView360AtoZ.world-streetview-500k
🌍 World StreetView 500k
World StreetView 500k is a large-scale computer vision dataset for visual geolocation estimation, spatial representation learning, and geographic scene understanding.
It pairs ~2 million street-level images from ~500,000 unique locations worldwide with geographic coordinates, country labels, capture dates, and elevation data. Each training location is captured from 4 compass headings (0°, 90°, 180°, 270°) — ideal for training GeoGuessr-style geolocation… See the full description on the dataset page: https://huggingface.co/datasets/josefbednar/world-streetview-500k.random_streetview_images_pano_v0.0.2
Dataset Card for panoramic street view images (v.0.0.2)
Dataset Summary
The random streetview images dataset are labeled, panoramic images scraped from randomstreetview.com. Each image shows a location
accessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image purely based on its visual content.
Supported Tasks and Leaderboards
None as of now!… See the full description on the dataset page: https://huggingface.co/datasets/stochastic/random_streetview_images_pano_v0.0.2.Canadian-streetview-cities
Canadian Street View Cities Dataset
Overview
A street-view image dataset created to train and evaluate models for city-level image classification across major Canadian cities. Each entry includes an image and its corresponding city label.
Purpose
The dataset is intended for building models that recognize the Canadian city in which a street-view scene was captured.
Data Source
All images were collected from Mapillary, using geographic bounding boxes… See the full description on the dataset page: https://huggingface.co/datasets/SABR22/Canadian-streetview-cities.StreetView-Image-Dataset-10K
Urban Streetscape Dataset for Vision Language Models
A curated subset of 10,000 street view images with 25 essential features optimized for training vision language models on urban environment analysis tasks.
Dataset Description
This dataset contains street view imagery paired with comprehensive annotations covering infrastructure characteristics, visual perception metrics, environmental context, and semantic segmentation data.
This comprehensive dataset represents a… See the full description on the dataset page: https://huggingface.co/datasets/Sadhana-24/StreetView-Image-Dataset-10K.streetview-global
StreetView Global
A globally-sampled street-view image dataset with rich scene annotations and
visual question-answer pairs. All photographs are sourced from
Mapillary, the open street-level imagery
platform, via its public image API.
Each example pairs a street-level photograph with geographic metadata
(latitude, longitude, compass, capture time, region), a free-form scene
description, structured scene classification (setting, weather, time of day,
road type, infrastructure), and… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/streetview-global.StreetView360AtoZStreetView 360X is a dataset containing 6342 360 degree equirectangular street view images randomly sampled and downloaded from Google Street View. It is published as part of the paper "StreetView360X: A Location-Conditioned Latent Diffusion Model for Generating Equirectangular 360 Degree Street Views" (Princeton COS Senior Independent Work by Everett Shen). Images are labelled with their capture coordinates and panorama IDs. Scripts for extending the dataset (i.e. fetching additional images)… See the full description on the dataset page: https://huggingface.co/datasets/vinod18vin/StreetView360AtoZ.streetview-imageryDataset containing ~71,000 images of different countries. Merged from:
Muninn Dataset (15K), Geotagged Streetview Images, Streetview Image Dataset, 50k+ google streetview images and deboradum/GeoGuessr-countries.
All images were resized to a maximum width/height of 640px. Coordinates (if available) were extracted and parsed with reverse-geocoder.
Each image was assigned a hash, and its information (latitude, longitude, country, country code, nearest city name, administrative regions 1 and 2)… See the full description on the dataset page: https://huggingface.co/datasets/DrLego/streetview-imagery.Canadian-streetview-cities
Canadian Street View Cities Dataset
Overview
A street-view image dataset created to train and evaluate models for city-level image classification across major Canadian cities. Each entry includes an image and its corresponding city label.
Purpose
The dataset is intended for building models that recognize the Canadian city in which a street-view scene was captured.
Data Source
All images were collected from Mapillary, using geographic bounding boxes… See the full description on the dataset page: https://huggingface.co/datasets/canada-guesser/Canadian-streetview-cities.