datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
street2shopStreetViewHouseNumbers
Dataset Card for Street View House Numbers
The Street View House Numbers (SVHN) dataset is a large real-world image dataset used for developing machine learning and object recognition algorithms. It contains over 600,000 labeled images of house numbers taken from Google Street View.
The images are cropped to a fixed resolution of 32x32 pixels, centered around a single character but may contain some distractors at the sides.
SVHN is similar to the MNIST dataset but incorporates… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/StreetViewHouseNumbers.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.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
5_synt_flux_street_selected_single_validated_1011world-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.streetview-graphsrandom_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.street-smart-road-signs
Street Smart: Road Sign Recognition
Dataset Summary
A public, viewer-ready educational challenge dataset. Host-only scoring data and hidden targets are excluded.
Splits
Split
Examples
Description
train
701
Labeled training data
test
176
Public inputs with withheld target labels or annotations
Data Fields
Field
Type
image
Image
image_id
string
width
int64
height
int64
objects.bbox… See the full description on the dataset page: https://huggingface.co/datasets/hoangbang/street-smart-road-signs.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.Street-garbage
Street-garbage
Описание
Street-garbage — публичный датасет для задачи детекции мусора на уличных изображениях городских сцен. Большинство изображений собрано в Москве и Санкт‑Петербурге; в набор включены дневные и ночные кадры, сцены с единичным и множественным мусором, а также кадры без мусора (чистые сцены) для снижения ложных срабатываний.
Размер и разбиение
train: 786 изображений
validation: 136 изображений
test: 144 изображения
всего: 1066 изображений… See the full description on the dataset page: https://huggingface.co/datasets/Shynuaa/Street-garbage.streetview-acw-300kGlobal_streetscapes_max_50_per_city5_synt_flux_street_selected5_synt_flux_street_selected_multi_v1_1022prague-streetview-50k5_synt_flux_street_selected_single_validated_v2_1011streethazardshk-streetview-imagesstreetreview
Paper (HF): https://huggingface.co/papers/2508.11708
Repository: https://github.com/rsdmu/streetreview
StreetReview Dataset
Overview
StreetReview is a curated dataset designed to evaluate the inclusivity, accessibility, aesthetics, and practicality of urban streetscapes, particularly in a multicultural city context. Focused on Montréal, Canada, the dataset combines diverse demographic evaluations with rich metadata and street-view imagery. It aims to advance research… See the full description on the dataset page: https://huggingface.co/datasets/rsdmu/streetreview.5_synt_flux_street_selected_qwenStreetVision-10K
StreetVision-10K
Each sample contains:
A system prompt instructing the model to act as an OSINT/geospatial expert
A user message with a street-level photo and the instruction to determine coordinates
An assistant response with ground-truth coordinates in <direct_lon_lat_output>longitude,latitude</direct_lon_lat_output> format
Format
Each line is a JSON array of ChatML messages:
[
{"role": "system", "content": "..."},
{"role": "user", "content": [… See the full description on the dataset page: https://huggingface.co/datasets/mishl/StreetVision-10K.StreetSignSet
Street Sign Set
High-Quality Traffic Sign Detection Dataset
📂 Dataset Overview
Street Sign Set is a comprehensive dataset designed for road sign detection in realistic contexts. It serves as the foundation for the StreetSignSense project, enabling robust detection in diverse environmental conditions.
The dataset is not perfectly balanced, reflecting the real-world frequency where some signs appear much more often than others.… See the full description on the dataset page: https://huggingface.co/datasets/AlessandroFerrante/StreetSignSet.paris_streetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "unknown",
"total_episodes": 1,
"total_frames": 421,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null,
"features": {
"observation.image": {
"dtype": "image"… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/paris_street.nihon_gaikei_japanese_streetscapesstreetview_segmentationsstreetlevel-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.NJ_multi-streetview-images5_synt_street_singlewds_dollar_street