Evaluate semantic segmentation data set against ground truth
computes various metrics to evaluate the quality of the semantic segmentation
results from confusion matrices, ssm
= evaluateSemanticSegmentation(imageSetConfusion
,classNames
)imageSetConfusion
, with
segmentation classes classNames
.
[
computes various metrics to evaluate the quality of the block-based semantic
segmentation results from confusion matrices, ssm
,blockMetrics
] = evaluateSemanticSegmentation(blockSetConfusion
,classNames
)blockSetConfusion
with classes classNames
.
[___] = evaluateSemanticSegmentation(___,
computes semantic segmentation metrics using one or more
Name,Value
)Name,Value
pair arguments to control the evaluation.
[1] Csurka, G., D. Larlus, and F. Perronnin. "What is a good evaluation measure for semantic segmentation?" Proceedings of the British Machine Vision Conference, 2013, pp. 32.1–32.11.
bfscore
| jaccard
| segmentationConfusionMatrix
| semanticseg
| plotconfusion
(Deep Learning Toolbox)