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The demo validation visualization presents instance classifications and semantic segmentation. The “Annotation” and “Prediction” visualizations label instances in general as predicted by the application. The “Semantic Correctness” visualization shows the overlap of annotated and predicted areas in detail. For all representations, the following color legend is applied.
True-positive areas are displayed in
. Areas where your app's prediction matches your annotations. In other words, the predicted labelled area overlaps with annotation by more than 50%.
False-positive areas are displayed in
. Areas that have not been annotated, yet predicted by the application. In other words, it predicts and labels areas of the image that should not be predicted and labeled. Areas falling into this category either do not match annotation or do so by less than 50%.
True-negative areas are displayed in
Areas that have not been annotated and predicted. In other words, it is an area that doesn’t include true-positive, false-positive, and false-negative areas.
False-negative areas are displayed in
. Areas that have been annotated, yet not predicted and labeled by your application.
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