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SharpShots/temporal-aerial-cityline-construction-sample

CityLine — Temporal Aerial Construction Dataset (Sample) Temporal Aerial Vision · Construction Progress · Multiview Geometry · San Jose, CA CityLine is a multi-year aerial imagery sequence captured from a helicopter during the construction of a major mixed-use development in San Jose, California.This sample highlights multiple construction phases over time, with several oblique views per capture date. The full (commercial) dataset contains hundreds of high-resolution images with… See the full description on the dataset page: https://huggingface.co/datasets/SharpShots/temporal-aerial-cityline-construction-sample.

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Dataset Card

CityLine — Temporal Aerial Construction Dataset (Sample)

Temporal Aerial Vision · Construction Progress · Multiview Geometry · San Jose, CA

CityLine is a multi-year aerial imagery sequence captured from a helicopter during the construction of a major mixed-use development in San Jose, California. This sample highlights multiple construction phases over time, with several oblique views per capture date.

The full (commercial) dataset contains hundreds of high-resolution images with monthly coverage across several years — suitable for world models, 3D reconstruction, change detection, construction analytics, and urban growth modeling.

This dataset is a limited preview sample intended for evaluation and experimentation.

📍 Project Overview

Property	Value
Project name	CityLine
Location	San Jose, California, USA
Capture type	Helicopter-based oblique aerial imagery
Resolution	12MP JPEG (RAW available commercially)
Coverage period (full set)	2017 → 2025 (approx.)
Temporal cadence	~monthly
Viewpoints per capture	Multiple oblique angles
Coordinates	37.374751, -122.032811

🎯 Machine Learning Use Cases

Category	Tasks Enabled
Temporal Vision	World models, change detection, temporal consistency
Multiview Geometry	Structure-from-motion, NeRF, depth from motion
Autonomy + Robotics	Mapping, localization, spatial reasoning
Construction Analytics	Progress estimation, digital twins, safety monitoring
Earth Observation	Urban growth, infrastructure evolution

📁 Dataset Contents (Sample)

Folder structure:

text

preview/              # resized JPEG previews for fast HF browsing
images/               # full-resolution JPEGs grouped by month
  2017-12/
  2019-01/
  2020-06/
  2021-09/
  2023-06/
  2025-01/
metadata.csv

➡ Preview images are 2048px max dimension, ideal for Hugging Face’s viewer ➡ Full-resolution files contain the highest-quality data for research/licensing

`metadata.csv` Schema

Column	Description
`project_id`	Numeric ID for the project
`project_name`	"CityLine"
`filename`	Full-resolution image filename
`preview_filename`	Lower-resolution preview filename
`date`	Capture date parsed from filename
`year_month`	Monthly grouping
`image_seq`	Sequence index derived from filename
`orbit_index`	Orbit grouping (sample = 1)
`orbit_frame`	Ordered view index (1…N)
`latitude`	Project latitude
`longitude`	Project longitude
`notes`	Optional annotation

🔧 Quick Usage Example

python

import pandas as pd
from pathlib import Path
from PIL import Image

meta = pd.read_csv("metadata.csv")

# Load preview image first (fast)
preview_path = Path("preview") / meta['preview_filename'][0]
img_preview = Image.open(preview_path).convert("RGB")
img_preview.show()

# Load matching full-resolution image when needed
full_path = Path("images") / meta['year_month'][0] / meta['filename'][0]
img_full = Image.open(full_path).convert("RGB")
img_full.show()

🔐 Full Dataset Access & Licensing

This sample is provided for evaluation purposes only.

The complete CityLine dataset (836 images) and a library of 270+ full-lifecycle construction projects are available under commercial license:

—Towers
—Hospitals
—Stadiums
—Highways & interchanges
—Commercial sites

Contact for full access: 📧 gene@sharpshotsaerial.com

🛰 About SharpShots Aerial

SharpShots Aerial specializes in long-term helicopter-based imaging of major construction and urban projects, enabling advanced mapping and AI research applications.