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Adding SSL4EO embeddings based on S2L1C Major-TOM with metadata and readme version 1.0
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README.md
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---
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license: cc-by-sa-4.0
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tags:
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- embeddings
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- earth-observation
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- remote-sensing
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- sentinel-2
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- satellite
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- geospatial
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- multi-spectral
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- satellite-imagery
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pretty_name: a
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/JDxneZWkFfnfz6r_32zuF.png)
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# Core-S2L1C-SSL4EO 🟥🟩🟦🟧🟨🟪 🛰️
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| Dataset | Modality | Number of Embeddings | Sensing Type | Total Comments | Source Dataset | Source Model | Size |
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|:--------:|:--------------:|:-------------------:|:------------:|:--------------:|:--------------:|:--------------:|:--------------:|
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|Core-S2L1C-SSL4EO|Sentinel-2 (Level 1C)|56,147,150|Multi-Spectral|General-Purpose Global|[Core-S2L1C](https://huggingface.co/datasets/Major-TOM/Core-S2L1C)|[SSL4EO-ResNet50-DINO](https://github.com/zhu-xlab/SSL4EO-S12)|252.9 GB|
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## Content
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| Field | Type | Description |
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|:-----------------:|:--------:|-----------------------------------------------------------------------------|
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| unique_id | string | hash generated from geometry, time, product_id, and embedding model |
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| embedding | array | raw embedding array |
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| grid_cell | string | Major TOM cell |
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| grid_row_u | int | Major TOM cell row |
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| grid_col_r | int | Major TOM cell col |
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| product_id | string | ID of the original product |
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| timestamp | string | Timestamp of the sample |
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| centre_lat | float | Centre of the fragment latitude |
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| centre_lon | float | Centre of the fragment longitude |
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| geometry | geometry | Polygon footprint (WGS84) of the fragment |
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| utm_footprint | string | Polygon footprint (image UTM) of the fragment |
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| utm_crs | string | CRS of the original product |
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| pixel_bbox | bbox | Boundary box of the fragment (pixels)
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## Input data
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* Sentinel-2 (Level 1C) multispectral dataset global coverage
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* All samples from [**MajorTOM Core-S2L1C**](https://huggingface.co/datasets/Major-TOM/Core-S2L1C)
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* Image input size: **224 x 224** pixels, target overlap: 10%, border_shift: True
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## Model
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The image encoder of the [**SSL4EO-ResNet50-DINO model**](https://github.com/zhu-xlab/SSL4EO-S12) was used to extract embeddings.
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## Example Use
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Interface scripts are available at
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```python
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from datasets import load_dataset
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dataset = load_dataset("Major-TOM/Core-S2L1C-SSL4EO")
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```
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## Generate Your Own Embeddings
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The [**embedder**](https://github.com/ESA-PhiLab/Major-TOM/tree/main/src/embedder) subpackage of Major TOM provides tools for generating embeddings like this ones. You can see an example of this in a dedicated notebook at (link).
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[![GitHub](https://img.shields.io/badge/GitHub-Generate%20Your%20Own%20Embeddings-blue?logo=github&style=flat-square)](https://github.com/ESA-PhiLab/Major-TOM/tree/main/src/embedder)
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---
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## Major TOM Global Embeddings Project 🏭
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This dataset is a result of a collaboration between [**CloudFerro**](https://cloudferro.com/) 🔶 and [**Φ-lab, European Space Agency (ESA)**](https://philab.esa.int/) 🛰️ set up in order to provide open and free vectorised expansions of Major TOM datasets and define a standardised manner for releasing Major TOM embedding expansions.
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The embeddings extracted from common AI models make it possible to browse and navigate large datasets like Major TOM with reduced storage and computational demand.
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The datasets were computed on the [**GPU-accelerated instances**](https://cloudferro.com/ai/ai-computing-services/)⚡ provided by [**CloudFerro**](https://cloudferro.com/) 🔶 on the [**CREODIAS**](https://creodias.eu/) cloud service platform 💻☁️.
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Discover more at [**CloudFerro AI services**](https://cloudferro.com/ai/).
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## Authors
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[**Marcin Kluczek (CloudFerro)**](https://www.linkedin.com/in/marcin-kluczek-03852a1a8/), [**Mikolaj Czerkawski (Φ-lab, European Space Agency)**](https://mikonvergence.github.io), [**Jędrzej S. Bojanowski (CloudFerro)**](https://www.linkedin.com/in/j%C4%99drzej-s-bojanowski-a5059872/)
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# Cite
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[![arxiv](https://img.shields.io/badge/Open_Access-arxiv:2402.12095-b31b1b)](https://arxiv.org/)
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Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://philab.esa.int/) in collaboration with [CloudFerro 🔶](https://cloudferro.com/)
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