satellighte.datasets#

class RESISC45(root_dir=None, phase='val', transforms=None, **kwargs)[source]#

RESISC45 dataset is a dataset for Remote Sensing Image Scene Classification (RESISC). It contains 31,500 RGB images of size 256×256 divided into 45 scene classes, each class containing 700 images.

_check_exists()[source]#

Check the Root directory is exists

Return type:: bool

_is_protocol = False#

static _load_image(img_file_path)#

Return type:: ndarray

_split_dataset(phase)[source]#

Return type:: Tuple

property classes: List[str]#

download()[source]#

Download the dataset from the internet

Return type:: None

id_to_name(idx)[source]#

Return type:: str

name_to_id(name)[source]#

Return type:: int

property num_classes: int#

class EuroSAT(root_dir=None, phase='val', transforms=None, **kwargs)[source]#

Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consisting out of 10 classes with in total 27,000 labeled and geo-referenced images.