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.