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--- |
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task_categories: ['depth-estimation'] |
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tags: |
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- lidar |
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- satellite |
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- image |
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pretty_name: 2020 Santa Clara LiDaR and Satellite Image Dataset |
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license: "mit" |
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size_categories: |
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- 1K<n<10K |
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--- |
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# 2020 Santa Clara LiDaR and Satellite Image Dataset |
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## Overview |
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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](https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/index.html) and [Google Earth](https://www.google.com/earth/). |
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## Dataset |
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### Total Dataset Size |
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- **Number of Objects**: 6,046 |
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- **Size on Disk**: 733.1 GB |
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### Specified Objects in the Dataset |
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1. **Edited2020SantaClaraLiDarDataset.geojson** |
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- **Type**: GeoJSON |
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- **Size**: 895.2 KB |
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- **Total Objects**: 1 |
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2. **images_v2/** (Folder) |
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- **Comment**: RAW Satellite Images |
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- **Total Size**: 588.0 GB |
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- **Number of Objects**: 2015 |
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3. **images/** (Folder) |
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- **Comment**: Compressed Satellite Images |
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- **Total Size**: 5.3 GB |
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- **Number of Objects**: 2015 |
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4. **LAZ/** (Folder) |
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- **Comment**: LiDaR LAZ Files |
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- **Total Size**: 139.7 GB |
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- **Number of Objects**: 2015 |
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### Additional Information |
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#### Creators; |
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- [Umut YILDIRIM](https://umutyildirim.com) |
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- [Shreyas Joshi](https://www.linkedin.com/in/shreyas-joshi31/) |
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#### License: |
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MIT License |
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_Note: The dataset is particularly useful for deep learning applications in lidar data processing and analysis, offering a rich source of geospatial data._ |
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_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](https://docs.google.com/forms/d/e/1FAIpQLSfOpvrAs0xBg1p33X3cd-Q0et-PWX84eGb1-J1uBwqd2TY2Lw/viewform)._ |
