Package com.ibm.watson.visual_recognition.v3.model

Class ClassifyOptions

java.lang.Object
com.ibm.cloud.sdk.core.service.model.GenericModel
com.ibm.watson.visual_recognition.v3.model.ClassifyOptions
All Implemented Interfaces:
com.ibm.cloud.sdk.core.service.model.ObjectModel
public class ClassifyOptions
extends com.ibm.cloud.sdk.core.service.model.GenericModel
The classify options.

  • Method Details

    • newBuilder

      public ClassifyOptions.Builder newBuilder()
      New builder.
      Returns:
      a ClassifyOptions builder

    • imagesFile

      public InputStream imagesFile()
      Gets the imagesFile.

      An image file (.gif, .jpg, .png, .tif) or .zip file with images. Maximum image size is 10 MB. Include no more than 20 images and limit the .zip file to 100 MB. Encode the image and .zip file names in UTF-8 if they contain non-ASCII characters. The service assumes UTF-8 encoding if it encounters non-ASCII characters.

      You can also include an image with the **url** parameter.

      Returns:
      the imagesFile

    • imagesFilename

      public String imagesFilename()
      Gets the imagesFilename.

      The filename for imagesFile.

      Returns:
      the imagesFilename

    • imagesFileContentType

      public String imagesFileContentType()
      Gets the imagesFileContentType.

      The content type of imagesFile. Values for this parameter can be obtained from the HttpMediaType class.

      Returns:
      the imagesFileContentType

    • url

      public String url()
      Gets the url.

      The URL of an image (.gif, .jpg, .png, .tif) to analyze. The minimum recommended pixel density is 32X32 pixels, but the service tends to perform better with images that are at least 224 x 224 pixels. The maximum image size is 10 MB.

      You can also include images with the **images_file** parameter.

      Returns:
      the url

    • threshold

      public Float threshold()
      Gets the threshold.

      The minimum score a class must have to be displayed in the response. Set the threshold to `0.0` to return all identified classes.

      Returns:
      the threshold

    • owners

      public List<String> owners()
      Gets the owners.

      The categories of classifiers to apply. The **classifier_ids** parameter overrides **owners**, so make sure that **classifier_ids** is empty. - Use `IBM` to classify against the `default` general classifier. You get the same result if both **classifier_ids** and **owners** parameters are empty. - Use `me` to classify against all your custom classifiers. However, for better performance use **classifier_ids** to specify the specific custom classifiers to apply. - Use both `IBM` and `me` to analyze the image against both classifier categories.

      Returns:
      the owners

    • classifierIds

      public List<String> classifierIds()
      Gets the classifierIds.

      Which classifiers to apply. Overrides the **owners** parameter. You can specify both custom and built-in classifier IDs. The built-in `default` classifier is used if both **classifier_ids** and **owners** parameters are empty.

      The following built-in classifier IDs require no training: - `default`: Returns classes from thousands of general tags. - `food`: Enhances specificity and accuracy for images of food items. - `explicit`: Evaluates whether the image might be pornographic.

      Returns:
      the classifierIds

    • acceptLanguage

      public String acceptLanguage()
      Gets the acceptLanguage.

      The desired language of parts of the response. See the response for details.

      Returns:
      the acceptLanguage