GlobalEyeSAR

tags: satellite, SAR, land cover

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description: The GlobalEyeSAR dataset comprises satellite Synthetic Aperture Radar (SAR) imagery from a global satellite constellation, each image labeled with corresponding land cover classifications. The dataset is intended for machine learning models that perform land cover classification using SAR imagery. It includes a variety of labels that represent different land cover types such as urban areas, forests, water bodies, agricultural lands, and more. The CSV file includes image identifiers, the file path to the image, and the associated label(s).

CSV Content Preview:

id,image_path,labels
1,/images/globalEyeSAR/landsat8/urban_area_0001.tif,Urban
2,/images/globalEyeSAR/sentinel_1/forest_0002.tif,Forest
3,/images/globalEyeSAR/sentinel_2/water_0003.tif,Water
4,/images/globalEyeSAR/landsat_7/agricultural_0004.tif,Agriculture
5,/images/globalEyeSAR/sentinel_1/coastal_0005.tif,Coastal

Note: The dataset is hypothetical and the file paths, image identifiers, and labels are invented for illustration purposes. In a real-world scenario, the dataset would require extensive preprocessing, cleaning, and validation before being used for machine learning tasks.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'satellite sar images':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=satellite+sar+images&dataset=GlobalEyeSAR&tags=satellite,+SAR,+land+cover
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub