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/// Classify images. Classify images with built-in or custom classifiers.
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/// </summary>
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/// <param name="imagesFile">An image file (.jpg, .png) 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. (optional)</param>
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/// <param name="acceptLanguage">The language of the output class names. The full set of languages is supported only for the built-in `default` classifier ID. The class names of custom classifiers are not translated. The response might not be in the specified language when the requested language is not supported or when there is no translation for the class name. (optional, default to en)</param>
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/// <param name="url">The URL of an image to analyze. Must be in .jpg, or .png format. The minimum recommended pixel density is 32X32 pixels per inch, and the maximum image size is 10 MB. You can also include images with the **images_file** parameter. (optional)</param>
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/// <param name="threshold">The minimum score a class must have to be displayed in the response. Set the threshold to `0.0` to ignore the classification score and return all values. (optional, default to 0.5)</param>
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/// <param name="owners">The categories of classifiers to apply. Use `IBM` to classify against the `default` general classifier, and use `me` to classify against your custom classifiers. To analyze the image against both classifier categories, set the value to both `IBM` and `me`. The built-in `default` classifier is used if both **classifier_ids** and **owners** parameters are empty. The **classifier_ids** parameter overrides **owners**, so make sure that **classifier_ids** is empty. (optional)</param>
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/// <param name="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`: (Beta) Enhances specificity and accuracy for images of food items. - `explicit`: (Beta) Evaluates whether the image might be pornographic. (optional)</param>
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/// <param name="imagesFileContentType">The content type of imagesFile. (optional)</param>
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/// <param name="customData">Custom data object to pass data including custom request headers.</param>
/// Detect faces in images. **Important:** On April 2, 2018, the identity information in the response to calls to the Face model was removed. The identity information refers to the `name` of the person, `score`, and `type_hierarchy` knowledge graph. For details about the enhanced Face model, see the [Release notes](https://console.bluemix.net/docs/services/visual-recognition/release-notes.html#2april2018). Analyze and get data about faces in images. Responses can include estimated age and gender. This feature uses a built-in model, so no training is necessary. The Detect faces method does not support general biometric facial recognition. Supported image formats include .gif, .jpg, .png, and .tif. The maximum image size is 10 MB. The minimum recommended pixel density is 32X32 pixels per inch.
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/// </summary>
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/// <param name="imagesFile">An image file (gif, .jpg, .png, .tif.) or .zip file with images. Limit the .zip file to 100 MB. You can include a maximum of 15 images in a request. 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. (optional)</param>
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/// <param name="url">The URL of an image to analyze. Must be in .gif, .jpg, .png, or .tif format. The minimum recommended pixel density is 32X32 pixels per inch, and the maximum image size is 10 MB. Redirects are followed, so you can use a shortened URL. You can also include images with the **images_file** parameter. (optional)</param>
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/// <param name="imagesFileContentType">The content type of imagesFile. (optional)</param>
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/// <param name="customData">Custom data object to pass data including custom request headers.</param>
/// <param name="verbose">Specify `true` to return details about the classifiers. Omit this parameter to return a brief list of classifiers. (optional)</param>
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/// <param name="customData">Custom data object to pass data including custom request headers.</param>
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