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+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
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+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
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diff --git a/README.md b/README.md
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index 0000000000000000000000000000000000000000..3d020a784f291075dbdde3e45591d976addfbe7d
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+---
+license: cc-by-sa-4.0
+tags:
+- embeddings
+- earth-observation
+- geospatial
+- remote-sesning
+- sentinel-1
+- sar
+- satellite
+- synthethic-aperture-radar
+- SSL4EO
+- satellite-imagery
+size_categories:
+- 10M<n<100M
+---
+ 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/_pmXpKIwlYdPWG7j-nR05.png)
+# Core-S1RTC-SSL4EO 📡⚡🛰️
+| Dataset | Modality | Number of Embeddings  | Sensing Type | Total Comments | Source Dataset | Source Model | Size |
+|:--------:|:--------------:|:-------------------:|:------------:|:--------------:|:--------------:|:--------------:|:--------------:|
+|Core-S1RTC-SSL4EO|Sentinel-1 RTC|36,748,875|SAR|General-Purpose Global|[Core-S1RTC](https://huggingface.co/datasets/Major-TOM/Core-S1RTC)|[SSL4EO-ResNet50-MOCO](https://github.com/zhu-xlab/SSL4EO-S12)|332.5 GB|
+
+
+## Content
+| Field           | Type   | Description                                                                 |
+|:-----------------:|:--------:|-----------------------------------------------------------------------------|
+| unique_id       | string | hash generated from geometry, time, product_id, and embedding model         |
+| embedding       | array  | raw embedding array                                                          |
+| grid_cell       | string | Major TOM cell                                                              |
+| grid_row_u      | int    | Major TOM cell row                                                          |
+| grid_col_r      | int    | Major TOM cell col                                                          |
+| product_id      | string | ID of the original product                                                  |
+| timestamp       | string | Timestamp of the sample                                                     |
+| centre_lat      | float  | Centre of the fragment latitude                                             |
+| centre_lon      | float  | Centre of the fragment longitude                                            |
+| geometry        | geometry | Polygon footprint (WGS84) of the fragment                                   |
+| utm_footprint   | string | Polygon footprint (image UTM) of the fragment                               |
+| utm_crs         | string | CRS of the original product                                                 |
+| pixel_bbox      | bbox   | Boundary box of the fragment (pixels)            
+
+
+## Input Data
+* Sentinel-1 RTC radar dataset global coverage
+* All samples from [**MajorTOM Core-S1RTC**](https://huggingface.co/datasets/Major-TOM/Core-S1RTC)
+* Image input size: **224 x 224** pixels, target overlap: 10%, border_shift: True
+
+## Model
+The image encoder of the [**SSL4EO-ResNet50-MOCO model**](https://github.com/zhu-xlab/SSL4EO-S12) was used to extract embeddings.
+
+## Example Use
+Interface scripts are available at
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("Major-TOM/Core-S1RTC-SSL4EO")
+```
+
+## Generate Your Own Embeddings
+
+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).
+[![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)
+
+
+---
+## Major TOM Global Embeddings Project 🏭
+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.
+
+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.
+
+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 💻☁️.
+Discover more at [**CloudFerro AI services**](https://cloudferro.com/ai/).
+
+
+## Authors
+[**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/)
+
+# Cite
+[![arxiv](https://img.shields.io/badge/Open_Access-arxiv:2402.12095-b31b1b)](https://arxiv.org/)
+
+
+Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://philab.esa.int/) in collaboration with [CloudFerro 🔶](https://cloudferro.com/)
\ No newline at end of file
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