rekognition_detect_custom_labels: Detects custom labels in a supplied image by using an Amazon...

View source: R/rekognition_operations.R

rekognition_detect_custom_labelsR Documentation

Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model

Description

Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model.

See https://www.paws-r-sdk.com/docs/rekognition_detect_custom_labels/ for full documentation.

Usage

rekognition_detect_custom_labels(
  ProjectVersionArn,
  Image,
  MaxResults = NULL,
  MinConfidence = NULL
)

Arguments

ProjectVersionArn

[required] The ARN of the model version that you want to use.

Image

[required]

MaxResults

Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.

MinConfidence

Specifies the minimum confidence level for the labels to return. detect_custom_labels doesn't return any labels with a confidence value that's lower than this specified value. If you specify a value of 0, detect_custom_labels returns all labels, regardless of the assumed threshold applied to each label. If you don't specify a value for MinConfidence, detect_custom_labels returns labels based on the assumed threshold of each label.


paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.