linters

Linters help identify potential issues in training and test data and are an important aspect of data cleaning.

Detector Classes

Clusterer(dataset)	Uses hierarchical clustering to flag dataset properties of interest like outliers and duplicates
Duplicates([only_exact])	Finds the duplicate images in a dataset using xxhash for exact duplicates and pchash for near duplicates
Outliers([use_dimension, use_pixel, ...])	Calculates statistical outliers of a dataset using various statistical tests applied to each image

Output Classes

ClustererOutput(outliers, ...)	Output class for Clusterer lint detector
DuplicatesOutput(exact, near)	Output class for Duplicates lint detector
OutliersOutput(issues)	Output class for Outliers lint detector