Honaker/eurosat_dataset

Dataset Card for EuroSat

How to Use

• Install datasets:

pip install datasets

• How to use in Python

from datasets import load_dataset
train_data = load_dataset("Honaker/eurosat_dataset", split="train")

Dataset Summary

EuroSat is an image classification dataset with 10 different classes on satellite imagery. There is over 27,000 labeled images.

Dataset Structure

The dataset is structured as follows:

DatasetDict({
    train: Dataset({
        features: ['image', 'labels'],
        num_rows: 21600
    })
    validation: Dataset({
        features: ['image', 'labels'],
        num_rows: 2700
    })
    test: Dataset({
        features: ['image', 'labels'],
        num_rows: 2700
    })
})

Data Instances

An example of the data for one image is:

{
 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64>,
 'labels': 0
}

With the type of each field being defined as:

{
'image': <PIL.JpegImagePlugin.JpegImageFile>,
'labels': Integer

Data Fields

The dataset has the following fields:

• 'image': Satellite image that is of type <PIL.TiffImagePlugin.TiffImageFile image>
• 'labels': the label of the Satellite image as an integer

Data Splits

	Train	Validation	Test
Images	21600	2700	2700

Additional Information

Licensing Information

EuroSat is licensed under a MIT