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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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- geospatial |
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- satellite |
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- satellite-imagery |
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--- |
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# Core-S2RGB-DINOv2 🔴🟢🔵 |
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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-S2RGB-SigLIP|Sentinel-2 Level 2A (RGB)|56,147,150|True Colour (RGB)|General-Purpose Global|[Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A)|[DINOv2](https://huggingface.co/docs/transformers/en/model_doc/dinov2)|223.1 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 2A) RGB reflectance multiplied by 2.5 and clipped between 0 and 1 to resemble images in the training data |
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* All samples from [**MajorTOM Core-S2LA**](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) |
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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 [**DINOv2 model**](https://huggingface.co/docs/transformers/en/model_doc/dinov) 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-S2RGB-DINOv2") |
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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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[](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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## Cite |
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```latex |
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title={Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space}, |
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author={Mikolaj Czerkawski, Marcin Kluczek, Jędrzej S. Bojanowski}, |
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year={2024}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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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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