dataeval.utils¶

The utility classes and functions are provided by DataEval to assist users in setting up data and architectures that are guaranteed to work with applicable DataEval metrics.

Submodules¶

`data`	Provides utility functions for interacting with Computer Vision datasets.
`metadata`	Metadata related utility functions that help organize raw metadata into `Metadata` objects for use within DataEval.
`torch`	PyTorch is the primary backend for metrics that require neural networks.