README.md

metadata

task_categories:
  - depth-estimation
tags:
  - lidar
  - satellite
  - image
pretty_name: 2020 Santa Clara LiDaR and Satellite Image Dataset
license: mit
size_categories:
  - 1K<n<10K

2020 Santa Clara LiDaR and Satellite Image Dataset

Overview

This dataset is collection of LiDaR and Satellite images of Santa Clara, California. This dataset is specifically designed for advanced depth estimation using 2D satellite images. The dataset is collected from NOAA and Google Earth.

Dataset

Total Dataset Size

• Number of Objects: 6,046
• Size on Disk: 733.1 GB

Specified Objects in the Dataset

1. Edited2020SantaClaraLiDarDataset.geojson

   • Type: GeoJSON
   • Size: 895.2 KB
   • Total Objects: 1

2. images_v2/ (Folder)

   • Comment: RAW Satellite Images
   • Total Size: 588.0 GB
   • Number of Objects: 2015

3. images/ (Folder)

   • Comment: Compressed Satellite Images
   • Total Size: 5.3 GB
   • Number of Objects: 2015

4. LAZ/ (Folder)

   • Comment: LiDaR LAZ Files
   • Total Size: 139.7 GB
   • Number of Objects: 2015

Additional Information

Creators;

• Umut YILDIRIM
• Shreyas Joshi

License:

MIT License

Note: The dataset is particularly useful for deep learning applications in lidar data processing and analysis, offering a rich source of geospatial data.

Note: This repo is under MIT License. However, if you intend to use the Google Earth imagery for commercial purposes, you will need to obtain permission through this Google form.