IssueTracker

Below is the original text of issue 161429872, which was closed but it is still present. It was closed as "won't fix (intended behavior), but it looks like from the comments that the person who tried to reproduce the issue used 'document_text_detection' (which works) instead of 'text_detection'.
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- Problem you have encountered: When using OCR to detect text in images [1], with Python client library, the confidence field is not set properly.

- What you expected to happen: Confidence field should have the same value in the "Try the API" option and when performing the recognition with the python client library.


- Steps to reproduce:

You can check this easily with any image.  Run the following function with any image url:
```
from google.cloud import vision

def detect_text_uri(uri):
    client = vision.ImageAnnotatorClient()
    image = vision.types.Image()
    image.source.image_uri = uri

    response = client.text_detection(image=image)
    texts = response.text_annotations
    print('Texts:')

    for text in texts:
        print('\n"{}"'.format(text.description))

        vertices = (['({},{})'.format(vertex.x, vertex.y)
                    for vertex in text.bounding_poly.vertices])

        print('bounds: {}'.format(','.join(vertices)))
        print("confidence: {}".format(text.confidence))

    if response.error.message:
        raise Exception(
            '{}\nFor more info on error messages, check: '
            'https://cloud.google.com/apis/design/errors'.format(
                response.error.message))
```

You will see that confidences are 0.0.
Then, use "Try the API" in [2] for the same image. You will see non zero confidences.

- Other information (workarounds you have tried, documentation consulted, etc):

I have also checked that the same happens with a local image.

[1] https://cloud.google.com/vision/docs/ocr \
[2] https://cloud.google.com/vision