Determining a Hard Example Image in a Classification Algorithm

This API is used to determine the classification result.

• API calling

  hard_sample_classification_filter(inputs,input_size)

• Parameter description

  Table 1 Parameters

  Parameter	Mandatory	Type	Description
  inputs	Yes	list	Class score, for example, [class1-score, class2-score, class2-score,....], where class-score ranges from 0 to 1
  input_size	Yes	int	Number of classes

• Return value

  A Bool value is returned. True indicates that the image is a hard example, and False indicates that the image is not a hard example.