task_categories:text-to-image size_categories:1K<n<10K language:en license:cc-by-nc-4.0 procedural-generation satellite google-earth region:us
---
language: en
license: cc-by-nc-4.0
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
tags:
  - procedural-generation
  - satellite
  - google-earth
task_categories:
  - text-to-image
---

GitHub: https://github.com/sshh12/terrain-diffusion

## Source

[COPERNICUS_S2_SR](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR)

> Contains modified Copernicus Service information 2023

## Captions

Generated using `openai/clip-vit-large-patch14` on a fixed set of captions.

## Data Processing

1. Pick region, filter for low clouds, get median over fixed timespan
2. Normalize RGB by min/max channel values
3. Generate captions for each tile using CLIP
4. Filter out tiles with black parts or overlap lines (automatically)
5. Manually pass to remove tiles that have issues
