deeplake.auto.unstructured.image_classification

class deeplake.auto.unstructured.image_classification.ImageClassification(source: str)
structure(ds: Dataset, progressbar: bool = True, generate_summary: bool = True, shuffle: bool = True, image_tensor_args: dict = {}, label_tensor_args: dict = {}, num_workers: int = 0) Dataset

Create a structured dataset.

Parameters
  • ds (Dataset) – A Deep Lake dataset object.

  • progressbar (bool) – Defines if the method uses a progress bar. Defaults to True.

  • generate_summary (bool) – Defines if the method generates ingestion summary. Defaults to True.

  • shuffle (bool) – Defines if the file paths should be shuffled prior to ingestion. Defaults to True.

  • image_tensor_args (dict) – Defines the parameters for the images tensor.

  • label_tensor_args (dict) – Defines the parameters for the class_labels tensor.

  • num_workers (int) – The number of workers passed to compute.

Returns

A Deep Lake dataset.