Submitted by florinandrei t3_11kbuzq in MachineLearning
LappenX t1_jbap16k wrote
Reply to comment by florinandrei in [D] The MMSegmentation library from OpenMMLab appears to return the wrong results when computing basic image segmentation metrics such as the Jaccard index (IoU - intersection-over-union). It appears to compute recall (sensitivity) instead of IoU, which artificially inflates the performance metrics. by florinandrei
That is exactly what should be happening. In the Cityscapes dataset for example you can always see part of the vehicle in the bottom of the image, and these pixels are set to ignore to be excluded from training loss and test metrics.
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