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README.md
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@@ -22,14 +22,23 @@ Dedicated channels for Major TOM coordination on **satellite-image-deep-learning
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https://discord.gg/SsUJCDcrcu
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---
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##
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| Dataset | Modality | Number of Patches | Sensing Type | Comments |
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| [Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) | Sentinel-2 Level 2A | 2,245,886 | Multi-Spectral | General-Purpose Global (about 23 TB) |
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| [Core-S2L1C](https://huggingface.co/datasets/Major-TOM/Core-S2L1C) | Sentinel-2 Level 1C | 2,245,886 | Multi-Spectral | General-Purpose Global (about 23 TB) |
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| [Core-S1RTC](https://huggingface.co/datasets/Major-TOM/Core-S1RTC) | Sentinel-1 RTC | 1,469,955 | SAR | General-Purpose Global (about 16 TB) |
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| [Core-DEM](https://huggingface.co/datasets/Major-TOM/Core-DEM) | Copernicus DEM 30 | 1,837,843 | Digital Surface Model (DSM) | General-Purpose Global (about 1 TB) |
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## π Open Access Manuscript
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[](https://arxiv.org/abs/2402.12095/)
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This project has been outlined in [https://arxiv.org/abs/2402.12095/](https://arxiv.org/abs/2402.12095/).
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Almost. Major TOM is **not a dataset**, but a project aiming to standardize some of the future EO datasets. As an example of what such a dataset could be like, **MajorTOM-Core** is released as a nearly global dataset of Sentinel-2 data.
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Scroll up to the
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</details>
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<details>
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https://discord.gg/SsUJCDcrcu
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---
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## π Official Image Datasets
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| Dataset | Modality | Number of Patches | Sensing Type | Comments |
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|------------|---------------------|------------------:|--------------|----------|
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| [Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) | Sentinel-2 Level 2A | 2,245,886 | Multi-Spectral | General-Purpose Global (about 23 TB) |
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| [Core-S2L1C](https://huggingface.co/datasets/Major-TOM/Core-S2L1C) | Sentinel-2 Level 1C | 2,245,886 | Multi-Spectral | General-Purpose Global (about 23 TB) |
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| [Core-S1RTC](https://huggingface.co/datasets/Major-TOM/Core-S1RTC) | Sentinel-1 RTC | 1,469,955 | SAR | General-Purpose Global (about 16 TB) |
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| [Core-DEM](https://huggingface.co/datasets/Major-TOM/Core-DEM) | Copernicus DEM 30 | 1,837,843 | Digital Surface Model (DSM) | General-Purpose Global (about 1 TB) |
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## π Official Embedding Datasets
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β³οΈ (Coming Soon)
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| Dataset | Modality | Number of Embeddings | Sensing Type | Comments | Source Dataset | Source Model | Size |
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| [Core-S2L1C-SSL4EO](https://huggingface.co/datasets/Major-TOM/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-MOCO](https://github.com/zhu-xlab/SSL4EO-S12) | 43 GB |
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| [Core-S1RTC-SSL4EO](https://huggingface.co/datasets/Major-TOM/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) | |
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| [Core-S2RGB-DINOv2](https://huggingface.co/datasets/Major-TOM/Core-S2RGB-DinoV2) | Sentinel-2 Level 2A (RGB) | 56,147,150 | True Colour | General-Purpose Global | [Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) | [DINOv2](https://huggingface.co/docs/transformers/en/model_doc/dinov2) |
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| [Core-S2RGB-SigLIP](https://huggingface.co/datasets/Major-TOM/Core-S2RGB-SigLIP) | Sentinel-2 Level 2A (RGB) | 20,212,974 | True Colour | Vision-Language Global | [Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) | [SigLIP-SO400M-384](https://huggingface.co/docs/transformers/en/model_doc/siglip) |
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## π Open Access Manuscript
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[](https://arxiv.org/abs/2402.12095/)
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This project has been outlined in [https://arxiv.org/abs/2402.12095/](https://arxiv.org/abs/2402.12095/).
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Almost. Major TOM is **not a dataset**, but a project aiming to standardize some of the future EO datasets. As an example of what such a dataset could be like, **MajorTOM-Core** is released as a nearly global dataset of Sentinel-2 data.
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Scroll up to the π **Official Image Datasets** section of this file to see the list of current datasets.
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</details>
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<details>
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