tlt.datasets.dataset.BaseDataset¶

class tlt.datasets.dataset.BaseDataset(dataset_dir, dataset_name=None, dataset_catalog=None)[source]¶

Abstract base class for a dataset used for training and evaluation

__init__(dataset_dir, dataset_name=None, dataset_catalog=None)[source]¶: Class constructor

Methods

`__init__`(dataset_dir[, dataset_name, ...])	Class constructor
`get_batch`()	Get a single batch of images and labels from the dataset

Attributes

`dataset`	The framework dataset object
`dataset_catalog`	The string name of the dataset catalog (or None)
`dataset_dir`	Host directory containing the dataset files
`dataset_name`	Name of the dataset
`test_subset`	A subset of the dataset held out for final testing/evaluation
`train_subset`	A subset of the dataset used for training
`validation_subset`	A subset of the dataset used for validation/evaluation