license:mit size_categories:n<1K format:csv modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# GlobalEyeSatelliteSegmentation

tags: Classification, Geospatial, Remote Sensing

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'GlobalEyeSatelliteSegmentation' dataset contains geospatial images captured by various satellites with the objective of classifying different land use and land cover (LULC) segments. The dataset is structured to facilitate remote sensing applications and machine learning classification models aimed at identifying and segmenting distinct areas based on their spectral signatures. The images in the dataset have been processed to include ground truth annotations for supervised learning.

The dataset comprises metadata about each image, including the date of capture, geographical coordinates, satellite name, resolution, and the presence of various land cover types such as urban, agricultural, forested, water bodies, and barren land. Additionally, each image is accompanied by a label or labels column indicating the segmented regions, which are labeled according to predefined categories relevant to LULC studies.

The dataset can be used for training machine learning models to perform satellite image segmentation, enabling accurate classification of different regions on the Earth's surface for environmental monitoring, urban planning, and resource management.

**CSV Content Preview:**

```csv
ImageID,Date,Latitude,Longitude,Satellite,Resolution,Label
1,2023-01-15,40.7128,-74.0060,WorldView-3,0.5m,Urban,Forested,Water
2,2023-02-12,34.0522,-118.2437,Sentinel-2,10m,Agricultural,Barren
3,2023-03-22,41.8781,-87.6298,Landsat-8,15m,Forested,Water
4,2023-04-18,51.5074,-0.1278,Sentinel-2,10m,Urban,Agricultural
5,2023-05-10,48.8566,-2.3522,WorldView-3,0.5m,Barren,Water
```

Note: This dataset is fictional and created for the purpose of this example. Actual satellite segmentation datasets would require permissions for data usage and access to relevant proprietary or open-source satellite imagery.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=GlobalEyeSatelliteSegmentation&tags=Classification,+Geospatial,+Remote+Sensing
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
