license:pddl size_categories:1K<n<10K format:parquet modality:image library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype: image
  splits:
  - name: train
    num_bytes: 1180008163
    num_examples: 2814
  - name: validation
    num_bytes: 23571164
    num_examples: 60
  - name: test
    num_bytes: 253135474
    num_examples: 608
  download_size: 1964913296
  dataset_size: 1966468360.592
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: pddl
pretty_name: Saint Louis County MN Roads
---
# Dataset Card for Dataset Name

This dataset represents aerial imagery and road labels suitable for binary segmentation and road network extraction.

## Dataset Details

Contains aerial imagery from St. Louis County, MN and road masks generated using OpenStreetMap center line data. This dataset has been filtered to remove most empty tiles (images without roads).

### Dataset Description

The aerial imagery was obtained from the St. Louis County Aerial Imagery Program, managed by private contractors. This program provides high-resolution imagery specifically for St. Louis County, Minnesota, and is well-suited for detailed local analyses. The imagery, captured during optimal conditions for visibility, offers a resolution of 1 meter, providing a clear and accurate view of the county's urban and rural landscapes.

The road centerlines used in this project were sourced from OpenStreetMap (OSM), a community-driven platform providing geospatial data from contributors worldwide. The OSM dataset for St. Louis County, Minnesota, includes detailed information on road geometries and attributes, making it an ideal choice for generating road masks for model training.

Using the OSM data, we constructed road masks by buffering the centerlines with variable widths based on road classifications such as highways, local streets, and unpaved paths. These buffered geometries were then rasterized to match the resolution of the St. Louis County aerial imagery, creating pixel-based representations of roads. This process ensures that the resulting road masks align seamlessly with the aerial imagery, providing accurate labeled training data for the model.


- **Curated by:** [More Information Needed]
- **License:** [Public Domain]

### Dataset Sources [optional]

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- **Repository:** [https://gis.stlouiscountymn.gov/portal/apps/webappviewer/index.html?id=eb9ac2d448a5465cac13f8d5afa9389c]

## Uses

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### Direct Use

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Suitable use cases include: binary segmentation of roads from aerial imagery; road network extraction.


## Dataset Creation

### Curation Rationale

The Dataset was created for a computer vision project.

### Source Data

Aerial imagery was obtained from [https://gis.stlouiscountymn.gov/portal/apps/webappviewer/index.html?id=eb9ac2d448a5465cac13f8d5afa9389c]
Center line data was obtained from [https://wiki.openstreetmap.org/wiki/Overpass_API]
