Welcome to RS-DatasetsHub! This curated collection hosts essential datasets used within the remote sensing community. Each dataset featured here is accompanied by pertinent details, including the paper in which it was published, the year of publication, the number of classes, the total number of images, image sizes, and the specific tasks for which the datasets are well-suited.

All the datasets reported in the following section are available here, in the form of zip files. Each dataset directory is structured as follows:

- dataset_folder:
  - dataset_images:
      - image_1
      - image_2
      - .
      - .
      - .
  - dataset.json

Depending on the dataset task, the dataset.json may contain both the paths and captions of the images. Furthermore, some dataset may have sub-directories for better organizing images based on the class.

Any contribution to this work is welcome and very deeply appreciated.

If you have have found and used a dataset in your work thanks to this repository, please consider citing

@online{rsDatasetsHub,
    author={Angelo Nazzaro}, 
    title = {RS-DatasetsHub},
    publisher={Github},
    url={https://github.com/NeuRoNeLab/RS-DatasetsHub},
    year={2023}
}