Rufen Sie die visuelle Erkennung im Watson Java SDK auf

		VisualRecognition service = new VisualRecognition("2016-05-20");
		service.setApiKey("<apikey>");

		System.out.println("Classify an image");

		//Ein lokaler Upload ist ebenfalls möglich
		// ClassifyOptions options = new ClassifyOptions.Builder()
		// .imagesFile(new File("file/662s.jpg "))
		// .build();

		//Geben Sie die Bild-URL an
		String url = "http://xxx.com/xxx.jpg ";

		ClassifyOptions options = new ClassifyOptions.Builder() //
				.url(url)
				.build();
		ClassifiedImages result = service.classify(options).execute();
		// System.out.println(result);

		List<ClassifiedImage> images = result.getImages();

		for (ClassifiedImage image : images) {

			List<ClassifierResult> cr = image.getClassifiers();
			for (ClassifierResult r : cr) {
				// System.err.println(r.getName());
				List<ClassResult> cc = r.getClasses();
				for (ClassResult c : cc) {
					// System.err.println("ClassResult : " + c);
					System.err.println("ClassName : " + c.getClassName());
					System.err.println("Score : " + c.getScore());
					System.err.println("TypeHierarchy : " + c.getTypeHierarchy());
					System.err.println("---");
				}
			}
		}

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