Linter

The Linter class helps identify images in a dataset that have issues which may limit training performance. It identifies issues such as image quality (overly bright/dark, overly blurry, lacking information) or unusual image properties (shape, size, channels).

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DAML API

class daml.detectors.Linter(images: ndarray, flags: ImageProperty | ImageVisuals | ImageStatistics | Sequence[ImageProperty | ImageVisuals | ImageStatistics] | None = None)

Calculates statistical outliers of a dataset using various statistical tests applied to each image

evaluate() → dict

Returns indices of outliers with and the issues identified for each

Returns:

Dictionary containing the indices of outliers and a dictionary issues and calculated values

Return type:

Dict[int, Dict[str, float]]