Outerview/retail-streetscape-storefront-signals

Retail Streetscape & Storefront Signals Visual Dataset

Rows: 73,704

Dataset Description

Retail Streetscape & Storefront Signals Visual Dataset is a global wildlife image dataset-style street-level imagery collection focused on retail frontage, placemaking, and urban commerce signals in real-world scenes. The labeled target in this dataset is the feature field, which captures matched visual feature labels for Storefront, Restaurant, Coffee Shop, Pharmacy, Outdoor Seating, and Parking Lot. Labels were produced from query-driven embedding matches against Outerview's internal visual search pipeline, using street-level visual records associated with location metadata. The package includes tabular files for analysis and geospatial computer vision workflows, along with representative image archive examples for review, retrieval, and image classification experiments. It is useful for visual search, retail site selection, municipal asset analysis, urban vitality studies, and geospatial computer vision research across Region: Global.

This dataset is a sample from Outerview's full visual index of 10M+ real-world observations, powered by 35B visuals and observations. Search the full dataset for free at outerview.ai. API access and full dataset available at outerview.ai. Developer docs at docs.outerview.ai.

When image archives are included, explain naturally that the packaged images are representative examples and that larger-scale image generation, retrieval, and review should be done through the API.

Updated on a bimonthly basis.

Dataset Structure

Features in the dataset

• Storefront: query targets street-level storefront facades and retail frontage.
• Restaurant: query targets restaurant businesses and dining venue exteriors.
• Coffee Shop: query targets coffee shop storefronts and cafe entrances.
• Pharmacy: query targets pharmacy locations and drugstore facades.
• Outdoor Seating: query targets visible outdoor seating areas adjacent to retail or hospitality venues.
• Parking Lot: query targets parking lot scenes associated with nearby commercial parcels.

Schema

Column	Type	Description
filename	string	Image filename in the exported image batch.
image_folder	string	Relative folder inside the image zip batch.
date	string	Capture date or source timestamp when available.
country	string	Country associated with the visual record.
state	string	State or province associated with the visual record.
city	string	City or locality associated with the visual record.
feature	string	Matched visual feature label.
latitude	float64	Latitude in WGS84 decimal degrees.
longitude	float64	Longitude in WGS84 decimal degrees.
source	string	Source attribution for the visual record.

Dataset Creation

Source

Records were assembled from Outerview's global visual index using query-driven embedding matches over street-level imagery and related visual records. The source material combines geotagged observations and exported image batches for downstream analysis in retail and urban context tasks.

Annotation

Annotation is label-based only, with each record assigned one of the feature labels listed in Features in the dataset. The exact labeled features are Storefront, Restaurant, Coffee Shop, Pharmacy, Outdoor Seating, and Parking Lot, and no bounding boxes are included.

Uses

Intended Uses

Municipal asset teams can use this dataset for streetscape inventory, retail corridor monitoring, and public realm analysis. AV perception engineers, insurance underwriters, environmental analysts, and retail site selection teams can use it for image classification, visual search, and geospatial computer vision workflows.

Out-of-Scope Uses

Not intended for facial recognition, individual identification, or surveillance of private individuals.

License

This dataset is released under the CC BY 4.0 license. Free for research and commercial use with attribution.

Citation

@dataset{outerview_retail-streetscape-storefront-signals_2026,
  title={Retail Streetscape & Storefront Signals Visual Dataset},
  author={Outerview},
  year={2026},
  url={https://huggingface.co/datasets/outerview/retail-streetscape-storefront-signals}
}

About Outerview

Outerview is a research lab focused on understanding the physical world at planetary scale.

We are building systems that can organize the world's physical information and make it accessible and usable transforming raw imagery, video, location, and spatial context into knowledge that people and machines can search, interpret, and act on.

Our belief is simple: the physical world should be as searchable and understandable as the digital world.