Shortcuts

mmcls.evaluation

This package includes metrics and evaluators for classification tasks.

Single Label Metric

Accuracy

Accuracy evaluation metric.

SingleLabelMetric

A collection of precision, recall, f1-score and support for single-label tasks.

Multi Label Metric

AveragePrecision

Calculate the average precision with respect of classes.

MultiLabelMetric

A collection of precision, recall, f1-score and support for multi-label tasks.

VOCAveragePrecision

Calculate the average precision with respect of classes for VOC dataset.

VOCMultiLabelMetric

A collection of metrics for multi-label multi-class classification task based on confusion matrix for VOC dataset.

Read the Docs v: 1.x
Versions
master
latest
1.x
dev-1.x
Downloads
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.