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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.

Usage

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

Examples

The step has no configuration parameters, so it’s simply

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").
column[url]
required
column[list[category]]
required
Lists of entities identified in the picture.
column[category]
required
Indicates whether the image contains violence.
column[category]
required
Indicates whether the image is a spoof (parody).
column[category]
required
Indicates whether the image features adult content.
column[category]
required
Indicates whether the image features medical content.
column[category]
required
Indicates whether the image features racy content.

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

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