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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - image-classification
+task_ids:
+  - multi-class-image-classification
+pretty_name: Construction & Infrastructure Change Visual Dataset
+size_categories:
+  - 10K<n<100K
+tags:
+  - construction
+  - infrastructure
+  - geospatial
+  - imagery
+  - classification
+---
+
+# Construction & Infrastructure Change Visual Dataset
+
+## Dataset Description
+
+Construction & Infrastructure Change Visual Dataset is a global wildlife image dataset for geospatial computer vision dataset work focused on urban change, public works, and street-level imagery. Labels are assigned to images by matching each visual record to one of 6 feature targets in the dataset: Construction Site, Roadwork, Crane, Excavator, Scaffolding, and Pothole. The dataset includes `data.csv`, `data.geojson`, `data.parquet`, and a packaged representative image archive (`images-batch-0001.zip`) for sample review and image classification experiments. It is useful for visual search, mapping construction activity, monitoring infrastructure change, and benchmarking multi-class image classification on real-world observations. 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](https://outerview.ai). API access and full dataset available at [outerview.ai](https://outerview.ai). Developer docs at [docs.outerview.ai](https://docs.outerview.ai).
+
+When image archives are included, the packaged images are representative examples and larger-scale image generation, retrieval, and review should be done through the API.
+
+Updated on a bimonthly basis.
+
+## Dataset Structure
+
+### Features in the dataset
+
+- Construction Site: queries images matching active or completed construction zones.
+- Roadwork: queries images showing road repairs, lane closures, or utility work.
+- Crane: queries images containing cranes used in construction or heavy lifting.
+- Excavator: queries images containing excavators and similar earthmoving equipment.
+- Scaffolding: queries images showing scaffolding around buildings or worksites.
+- Pothole: queries images showing road surface damage and repair targets.
+
+### 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
+
+The records come from Outerview's visual index, which organizes real-world imagery through the Outerview internal visual search pipeline and query-driven embedding match source selection. Each sample is selected to align with one of the defined feature labels across Global coverage.
+
+### Annotation
+
+Annotation is label-only and uses the exact feature targets from "Features in the dataset" to assign each record to Construction Site, Roadwork, Crane, Excavator, Scaffolding, or Pothole. No bounding boxes or instance masks are included, and the labels reflect the matched visual feature for each image.
+
+## Uses
+
+### Intended Uses
+
+This dataset is suitable for municipal asset teams tracking construction and road maintenance, AV perception engineers evaluating urban scene recognition, insurance underwriters assessing infrastructure change, and environmental analysts monitoring built-environment activity. Retail site selection teams can also use it for surrounding-area inspection and visual search 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](https://creativecommons.org/licenses/by/4.0/) license. Free for research and commercial use with attribution.
+
+## Citation
+
+```bibtex
+@dataset{outerview_construction-infrastructure-change-visual-data-8_2026,
+  title={Construction & Infrastructure Change Visual Dataset},
+  author={Outerview},
+  year={2026},
+  url={https://huggingface.co/datasets/outerview/construction-infrastructure-change-visual-data-8}
+}
+```
+
+## 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.

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data.parquet

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images-batch-0001.zip

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