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Labels and categorizes images to indicate whether they contain violent, parodic, adult, medical or racy elements. ???+ info “API integration” To use this step your team needs to have the Google Vision integration configured in Graphext. The corresponding credentials are required to connect to a third-party API. You can configure API integrations following the INTEGRATIONS or ADD INTEGRATION link in the top-left corner of your Team’s page, selecting API keys, and then the name of the desired third-party service. To enable the Google Vision integration in particular you will need access to Google’s Vision service. Follow the instructions shere to create the required API key.

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Usage

The following example shows how the step can be used in a recipe.

Examples

  • Example 1
  • Signature
The step has no configuration parameters, so it’s simply
fetch_google_vision(ds.image_url) -> (
  ds.image_labels,
  ds.image_contains_violence,
  ds.image_is_spoof,
  ds.image_has_adult_content,
  ds.image_has_medical_content,
  ds.image_is_racy
)

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Inputs & Outputs

The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced by name e.g. "churn-clf").
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target_col
column[url]
required
Direct URLs to the images to analyze, e.g. https://upload.wikimedia.org/wikipedia/commons/c/c7/Madrid_-_El_Oso_y_el_Madro%C3%B1o.jpg.
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labels
column[list[category]]
required
Lists of entities identified in the picture.
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violence
column[category]
required
Indicates whether the image contains violence.
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spoof
column[category]
required
Indicates whether the image is a spoof (parody).
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adult
column[category]
required
Indicates whether the image features adult content.
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medical
column[category]
required
Indicates whether the image features medical content.
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racy
column[category]
required
Indicates whether the image features racy content.

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Configuration

The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).

Parameters

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integration
string
required
ID of the integration you’d like to use.
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