google-cloud-python
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Dear
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Problem: I'm using google cloud vision for my "Black-box Adversarial Attack" project. When using a function (client.label_detection) to query the model for image annotation, the received response has a few results (labels and scores) which is less than the response from using web demo.
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Question: How can I get a response with more results? How to customise the number of results? I would like to explore different attack settings based on the number of results returned from real-world systems like google cloud vision.
Thanks
I'm going to transfer this issue to google-cloud-python as we're planning to move the code for google-cloud-vision there in the next 1-2 weeks