Datasets:

quasara-io
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Quasara-MajorTOM-DE-SigLIP

@@ -41,11 +41,39 @@ c) no pre-training, no labelling happened in the preparation of this dataset
 <!-- Address questions around how the dataset is intended to be used. -->
-### Direct Use
-<!-- This section describes suitable use cases for the dataset. -->
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@@ -67,92 +95,13 @@ c) no pre-training, no labelling happened in the preparation of this dataset
 **Embedding.dat**
-## Dataset Creation
-### Curation Rationale
-<!-- Motivation for the creation of this dataset. -->
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-### Source Data
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-#### Data Collection and Processing
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-#### Who are the source data producers?
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-### Annotations [optional]
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-#### Annotation process
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-#### Who are the annotators?
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-#### Personal and Sensitive Information
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-## Bias, Risks, and Limitations
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-### Recommendations
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-## Citation [optional]
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-## Glossary [optional]
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 <!-- Address questions around how the dataset is intended to be used. -->
+# MajorTOM-DE Dataset
+The **MajorTOM-DE dataset** provides embeddings derived from high-resolution satellite images of the Germany region, generated using the OpenCLIP SigLIP model. These embeddings, extracted from images covering a range of geographic coordinates across Germany, provide a powerful tool for various applications.
+## Dataset Information
+- **Coordinates Info:** The embeddings cover a range of geographic coordinates across the Germany region.
+- **Related Dataset:** The MajorTOM-DE dataset is closely related to the original **S2L2A** dataset.
+## Features
+The MajorTOM-DE dataset leverages CLIP's ability to relate textual descriptions to visual data, enabling more intuitive searches and analysis. This allows users to search among images using text-based queries effectively.
+## Applications
+The MajorTOM-DE dataset can be utilized for various applications, including:
+- **Monitoring Changes in Land Use and Land Cover:**
+  - Track deforestation
+  - Observe urban expansion
+  - Monitor water body dynamics
+- **Precision Agriculture:**
+  - Analyze crop health
+  - Predict yields
+  - Plan harvests
+- **Climate Research:**
+  - Study climate patterns
+  - Monitor changes and impacts on regional and local levels
+<!--direct use have to think still with de code snippet -->
 **Embedding.dat**
+| Column        | Explanation                                                                                         |
+|---------------|-----------------------------------------------------------------------------------------------------|
+| ID            | ID of the image/image part for which the embedding was calculated.                                   |
+| dat_row       | Row in the .dat file that can be used to match the embeddings to the MajorTOM datasets via metadata.paraquet dataset. |
+| image_type    | Specifies whether it is a Full image or a Splits image. Each image is split into 70 segments and vectorized. Splits image refers to a segment. |
+| coordinates   | Coordinates in the image that define the segment that was vectorized. Full images have no coordinates. |
+| split_configs | Explains how the images were split into segments. Full images have no split configs, but Splits images are all auto extra tiles with a default split setting of 70. |
+| embeddings    | Vectors calculated from the image/image segment.                                                     |