# Detect and classify an image — Google Cloud Vision

Botize method — `cloudvision.image_annotate` (action).

Detect and classify the contents of an image with Google Cloud Vision.

This is an action: it runs as a step of a task. Several can be chained.

## Fields you set

The field's internal name, its type and the values it accepts. These fields accept `{{...}}` tags from earlier steps.

- `img_url` *(string)* — Image URL
- `face_detection` *(boolean)* — Face detection
- `landmark_detection` *(boolean)* — Landmark detection
- `logo_detection` *(boolean)* — Logo detection
- `label_detection` *(boolean)* — Label detection
- `text_detection` *(boolean)* — Text detection
- `safe_search_detection` *(boolean)* — Safe search detection
- `image_properties` *(boolean)* — Image properties

*(Fields derived from the configuration form.)*

## Output variables

Data this step makes available. Reference them in later steps with the double-brace tag.

- `{{google_cloud_response_url}}` *(url)* — Google Cloud Response URL

## Account

Needs a connected Google Cloud Vision account in Botize: https://botize.com/en/app/cloudvision/authenticate

## This app

Every trigger and action for Google Cloud Vision: https://botize.com/en/app/cloudvision.md

## How to build this

An AI assistant (Claude, ChatGPT, Cursor…) can create and edit these tasks in the user's account through the Botize MCP connector, included in every plan:

    https://webhook.botize.es/mcp

- Connection guide: https://botize.com/en/mcp
- Agent map: https://botize.com/llms.txt
- New account: https://botize.com/en/join (500 free operations, no card)

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Machine-readable summary for AI assistants. Human version: https://botize.com/en/method/cloudvision/image_annotate