Comments (1)
This is for some rare classification datasets where some examples do not have a single label. An example is our ImageNet-ReaL dataset, which has ~3000 validation images with no label. According to the official metric, these should be ignored, rather than always scored as wrong, which is what'd happen if the mask wasn't updated.
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