dataeval.data¶

Provides utility functions for interacting with Computer Vision datasets.

Submodules¶

`selections`	Provides selection classes for selecting subsets of Computer Vision datasets.

`Embeddings`	Collection of image embeddings from a dataset.
`Images`	Collection of image data from a dataset.
`Metadata`	Collection of binned metadata using Polars DataFrames.
`Select`	Dataset wrapper that applies selection criteria for filtering.

`SplitDatasetOutput`	Output class containing test indices and a list of TrainValSplits.

`split_dataset`(dataset[, num_folds, stratify, ...])	Dataset splitting function. Returns a dataclass containing a list of train and validation indices.