Datasets:

Outerview
/

fire-hydrants-dataset

language:
  - en
pretty_name: Global Fire Hydrants Dataset
license: cc-by-4.0
tags:
  - geospatial
  - computer-vision
  - object-detection
  - mapping
  - infrastructure
  - fire-hydrants
  - open-data
  - world-models
  - mapillary
task_categories:
  - image-classification
  - object-detection
size_categories:
  - 10K<n<100K
annotations_creators:
  - machine-generated
language_creators:
  - other
multilinguality:
  - monolingual
source_datasets:
  - original

Global Fire Hydrants Dataset

The Global Fire Hydrants Dataset is a geotagged dataset of 14.2K fire hydrants from around the world, released by Outerview, a research lab focused on building world models.

At Outerview, our mission is to organize the world’s physical information and make it accessible and usable. This dataset is part of that effort: transforming physical-world infrastructure into structured, machine-readable data for research, modeling, and real-world intelligence.

Dataset Description

This dataset contains 14,200 examples of fire hydrants with geographic and image metadata.

Each entry is centered on a single real-world physical feature: a fire hydrant.

It is designed for:

computer vision
geospatial machine learning
infrastructure intelligence
mapping and asset discovery
multimodal retrieval
physical-world search and indexing

Data Source and Processing

The underlying imagery in this dataset is sourced from Mapillary.

The dataset was computed, extracted, and structured using the Outerview API, which is designed to help index and organize physical-world information at scale.

Why This Dataset Exists

Most of the world’s physical infrastructure is still difficult for machines to access and reason about.

Fire hydrants are a strong example of this problem: they are common, geographically distributed, visually diverse, and operationally important, yet clean open datasets for them remain limited.

We created this dataset to help make physical infrastructure more searchable, more usable, and easier to work with in machine learning and geospatial systems.

What’s Included

This release contains 14.2K fire hydrant records with metadata fields such as:

unique ID
latitude
longitude
source
name
region
filename

Images are included as part of the dataset release assets.

Dataset Structure

Typical columns include:

id
latitude
longitude
source
name
region
filename

Uses

This dataset can be used for:

fire hydrant classification
object detection and localization
infrastructure mapping
geospatial indexing
physical-world retrieval systems
training and evaluating world models
civic infrastructure research
real-world AI prototypes

Coverage

Feature type: Fire hydrants
Count: 14.2K
Scope: Global
Modality: Street-level imagery with geospatial metadata

Coverage is not uniform across all countries or regions. This dataset should be treated as a research and development resource rather than a complete inventory of all fire hydrants worldwide.

Limitations

Geographic coverage is uneven
Image quality and capture conditions vary
Some hydrants may be partially occluded, distant, blurred, or difficult to identify
The dataset reflects available imagery and collection coverage, not complete ground truth
Presence in the dataset does not imply full regional completeness

Recommended Uses

Recommended for:

research
model training
evaluation
geospatial analysis
infrastructure discovery
retrieval and indexing workflows

Not recommended for:

safety-critical decisions without independent verification
emergency response use without validation against authoritative sources
claims of complete hydrant coverage for any city or country

About Outerview

Outerview is a research lab building world models.

We work on systems that help machines understand what exists in the physical world, where it is, how it changes, and how to navigate it.

We believe the physical world should be as searchable and understandable as the digital world. Our goal is to organize the world’s physical information and make it accessible and usable for research, products, and real-world applications.

Citation

If you use this dataset, please cite:

@dataset{outerview_global_fire_hydrants, title={Global Fire Hydrants Dataset}, author={Outerview}, year={2026}, publisher={Hugging Face} }

License

This dataset is released under the CC-BY-4.0 license.

Contact

For larger datasets, research collaborations, or access to broader physical-world data infrastructure, visit Outerview.

Future Releases

This dataset is part of a broader effort by Outerview to publish structured datasets of physical-world features, infrastructure, and objects for training and evaluating world models.

Future releases will expand into additional categories, geographies, and scales.