Prompt-based Object Detection with Gemini 2.0

Fig 1. Output of Object Detection ![](https://res.cloudinary.com/daglih2g8/image/upload/fauto,qauto/v1/n8n-workflows/download1qmqyyofull-width)

Integrations Used (2)

HTTP Request

Editimage

Workflow Structure (7 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Http Request

Get Test Image

Edit Image

Get Image Info

Http Request

Gemini 2.0 Object Detection

Set

Get Variables

Code

Scale Normalised Coords

Edit Image

Draw Bounding Boxes

Node Types:

trigger

transform

http

code

default

Requires credentials

Prerequisites

Required Credentials (1)

Google Palm

Used by: Gemini 2.0 Object Detection

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~30 min

Score: 41/100

Custom Code

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "nodes": [
    {
      "id": "bae5d407-9210-4bd0-99a3-3637ee893065",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1440,
        -280
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c5a14c8e-4aeb-4a4e-b202-f88e837b6efb",
      "name": "Get Variables",
      "type": "n8n-nodes-base.set",
      "position": [
        -200,
        -180
...