| --- |
| tags: |
| - aerial |
| - temporal |
| - time-series |
| - construction |
| - multiview |
| - change-detection |
| - world-model |
| - urban |
| task_categories: |
| - video-classification |
| - image-classification |
| - image-segmentation |
| - object-detection |
| size_categories: |
| - small |
| license: other |
| --- |
| |
| # 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. |
|
|
| --- |
|
|
