Delete README.md

README.md

@@ -1,121 +0,0 @@
----
-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 |
-
----
-
-## 📁 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
-Copy code
-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.
-
-yaml
-Copy code