Confirming Hard Examples¶
Note
Only datasets of image classification and object detection types support the auto hard example detection function.
Labeling Data in a Dataset as Hard Examples¶
In a dataset, labeled or unlabeled image data can be labeled as hard examples. Data labeled as hard examples can be used to improve model precision through built-in rules during subsequent model training.
Log in to the ModelArts management console. In the left navigation pane, choose Data Management > Datasets. The Datasets page is displayed.
In the dataset list, select the dataset of the object detection or image classification type and click the dataset name to go to the Dashboard tab page of the dataset.
On the Dashboard page of the dataset, click Label in the upper right corner. The dataset details page is displayed.
On the dataset details page, click the Labeled, Unlabeled, or All tab, select the images to be labeled as hard examples, and choose Batch process Hard Examples > Confirm Hard Example. After the labeling is complete, a Hard example mark will be displayed in the upper right corner of a preview image.