{
  "workflow": {
    "id": 2331,
    "name": "Build your own image search using AI object detection, CDN and ElasticSearch",
    "views": 8258,
    "recentViews": 0,
    "totalViews": 8258,
    "createdAt": "2024-07-10T12:35:33.563Z",
    "description": "This n8n workflow demonstrates how to automate indexing of images to build a object-based image search.\n\nBy utilising a Detr-Resnet-50 Object Classification model, we can identify objects within an image and store these associations in Elasticsearch along with a reference to the image.\n\n## How it works\n\n* An image is imported into the workflow via HTTP request node.\n* The image is then sent to 托管平台's Worker AI API where the service runs the image through the Detr-Resnet-50 object classification model.\n* The API returns the object associations with their positions in the image, labels and confidence score of the classification.\n* Confidence scores of less the 0.9 are discarded for brevity.\n* The image's URL and its associations are then index in an ElasticSearch server ready for searching.\n\n## Requirements\n* A 托管平台 account with Workers AI enabled to access the object classification model.\n* An ElasticSearch instance to store the image url and related associations.\n\n## Extending this workflow\nFurther enrich your indexed data with additional attributes or metrics relevant to your users.\n\nUse a vectorstore to provide similarity search over the images.",
    "workflow": {
      "meta": {
        "instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
      },
      "nodes": [
        {
          "id": "6359f725-1ede-4b05-bc19-05a7e85c0865",
          "name": "When clicking \"Test workflow\"",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            680,
            292
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "9e1e61c7-f5fd-4e8a-99a6-ccc5a24f5528",
          "name": "Fetch Source Image",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1000,
            292
          ],
          "parameters": {
            "url": "={{ $json.source_image }}",
            "options": {}
          },
          "typeVersion": 4.2
        },
        {
          "id": "9b1b94cf-3a7d-4c43-ab6c-8df9824b5667",
          "name": "Split Out Results Only",
          "type": "n8n-nodes-base.splitOut",
          "position": [
            1428,
            323
          ],
          "parameters": {
            "options": {},
            "fieldToSplitOut": "result"
          },
          "typeVersion": 1
        },
        {
          "id": "fcbaf6c3-2aee-4ea1-9c5e-2833dd7a9f50",
          "name": "Filter Score >= 0.9",
          "type": "n8n-nodes-base.filter",
          "position": [
            1608,
            323
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "367d83ef-8ecf-41fe-858c-9bfd78b0ae9f",
                  "operator": {
                    "type": "number",
                    "operation": "gte"
                  },
                  "leftValue": "={{ $json.score }}",
                  "rightValue": 0.9
                }
              ]
            }
          },
          "typeVersion": 2
        },
        {
          "id": "954ce7b0-ef82-4203-8706-17cfa5e5e3ff",
          "name": "Crop Object From Image",
          "type": "n8n-nodes-base.editImage",
          "position": [
            2080,
            432
          ],
          "parameters": {
            "width": "={{ $json.box.xmax - $json.box.xmin }}",
            "height": "={{ $json.box.ymax - $json.box.ymin }}",
            "options": {
              "format": "jpeg",
              "fileName": "={{ $binary.data.fileName.split('.')[0].urlEncode()+'-'+$json.label.urlEncode() + '-' + $itemIndex }}.jpg"
            },
            "operation": "crop",
            "positionX": "={{ $json.box.xmin }}",
            "positionY": "={{ $json.box.ymin }}"
          },
          "typeVersion": 1
        },
        {
          "id": "40027456-4bf9-4eea-8d71-aa28e69b29e5",
          "name": "Set Variables",
          "type": "n8n-nodes-base.set",
          "position": [
            840,
            292
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "9e95d951-8530-4a80-bd00-6bb55623a71f",
                  "name": "托管平台_ACCOUNT_ID",
                  "type": "string",
                  "value": ""
                },
                {
                  "id": "66807a90-63a1-4d4e-886e-e8abf3019a34",
                  "name": "model",
                  "type": "string",
                  "value": "@cf/facebook/detr-resnet-50"
                },
                {
                  "id": "a13ccde6-e6e3-46f4-afa3-2134af7bc765",
                  "name": "source_image",
                  "type": "string",
                  "value": "https://images.pexels.com/photos/2293367/pexels-photo-2293367.jpeg?auto=compress&cs=tinysrgb&w=600"
                },
                {
                  "id": "0734fc55-b414-47f7-8b3e-5c880243f3ed",
                  "name": "elasticsearch_index",
                  "type": "string",
                  "value": "n8n-image-search"
                }
              ]
            }
          },
          "typeVersion": 3.3
        },
        {
          "id": "c3d8c5e3-546e-472c-9e6e-091cf5cee3c3",
          "name": "Use Detr-Resnet-50 Object Classification",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1248,
            324
          ],
          "parameters": {
            "url": "=https://api.托管平台.com/client/v4/accounts/{{ $('Set Variables').item.json.托管平台_ACCOUNT_ID }}/ai/run/{{ $('Set Variables').item.json.model }}",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "contentType": "binaryData",
            "authentication": "predefinedCredentialType",
            "inputDataFieldName": "data",
            "nodeCredentialType": "托管平台Api"
          },
          "credentials": {
            "托管平台Api": {
              "id": "credential-id",
              "name": "托管平台Api Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "3c7aa2fc-9ca1-41ba-a10d-aa5930d45f18",
          "name": "Upload to Cloudinary",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            2380,
            380
          ],
          "parameters": {
            "url": "https://api.cloudinary.com/v1_1/daglih2g8/image/upload",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendQuery": true,
            "contentType": "multipart-form-data",
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "file",
                  "parameterType": "formBinaryData",
                  "inputDataFieldName": "data"
                }
              ]
            },
            "genericAuthType": "httpQueryAuth",
            "queryParameters": {
              "parameters": [
                {
                  "name": "upload_preset",
                  "value": "n8n-workflows-preset"
                }
              ]
            }
          },
          "credentials": {
            "httpQueryAuth": {
              "id": "credential-id",
              "name": "httpQueryAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "3c4e1f04-a0ba-4cce-b82a-aa3eadc4e7e1",
          "name": "Create Docs In Elasticsearch",
          "type": "n8n-nodes-base.elasticsearch",
          "position": [
            2580,
            380
          ],
          "parameters": {
            "indexId": "={{ $('Set Variables').item.json.elasticsearch_index }}",
            "options": {},
            "fieldsUi": {
              "fieldValues": [
                {
                  "fieldId": "image_url",
                  "fieldValue": "={{ $json.secure_url.replace('upload','upload/f_auto,q_auto') }}"
                },
                {
                  "fieldId": "source_image_url",
                  "fieldValue": "={{ $('Set Variables').item.json.source_image }}"
                },
                {
                  "fieldId": "label",
                  "fieldValue": "={{ $('Crop Object From Image').item.json.label }}"
                },
                {
                  "fieldId": "metadata",
                  "fieldValue": "={{ JSON.stringify(Object.assign($('Crop Object From Image').item.json, { filename: $json.original_filename })) }}"
                }
              ]
            },
            "operation": "create",
            "additionalFields": {}
          },
          "credentials": {
            "elasticsearchApi": {
              "id": "credential-id",
              "name": "elasticsearchApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "292c9821-c123-44fa-9ba1-c37bf84079bc",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            620,
            120
          ],
          "parameters": {
            "color": 7,
            "width": 541.1455500767354,
            "height": 381.6388867600897,
            "content": "## 1. Get Source Image\n[Read more about setting variables for your workflow](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set)\n\nFor this demo, we'll manually define an image to process. In production however, this image can come from a variety of sources such as drives, webhooks and more."
          },
          "typeVersion": 1
        },
        {
          "id": "863271dc-fb9d-4211-972d-6b57336073b4",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1180,
            80
          ],
          "parameters": {
            "color": 7,
            "width": 579.7748008857744,
            "height": 437.4680103498263,
            "content": "## 2. Use Detr-Resnet-50 Object Classification\n[Learn more about Serverless Functions AI](https://developers.托管平台.com/workers-ai/)\n\nNot all AI workflows need an LLM! As in this example, we're using a non-LLM vision model to parse the source image and return what objects are contained within. The image search feature we're building will be based on the objects in the image making for a much more granular search via object association.\n\nWe'll use the Serverless Functions AI service which conveniently provides this model via API use."
          },
          "typeVersion": 1
        },
        {
          "id": "b73b45da-0436-4099-b538-c6b3b84822f2",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1800,
            260
          ],
          "parameters": {
            "color": 7,
            "width": 466.35460775498495,
            "height": 371.9272151757119,
            "content": "## 3. Crop Objects Out of Source Image\n[Read more about Editing Images in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage)\n\nWith our objects identified by their bounding boxes, we can \"cut\" them out of the source image as separate images."
          },
          "typeVersion": 1
        },
        {
          "id": "465bd842-8a35-49d8-a9ff-c30d164620db",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2300,
            180
          ],
          "parameters": {
            "color": 7,
            "width": 478.20345439832454,
            "height": 386.06196032653685,
            "content": "## 4. Index Object Images In ElasticSearch\n[Read more about using ElasticSearch](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.elasticsearch)\n\nBy storing the newly created object images externally and indexing them in Elasticsearch, we now have a foundation for our Image Search service which queries by object association."
          },
          "typeVersion": 1
        },
        {
          "id": "6a04b4b5-7830-410d-9b5b-79acb0b1c78b",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1800,
            -220
          ],
          "parameters": {
            "color": 7,
            "width": 328.419768654291,
            "height": 462.65463700396174,
            "content": "Fig 1. Result of Classification\n![image of classification](https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto,w_300/v1/n8n-workflows/ywtzjcmqrypihci1npgh)"
          },
          "typeVersion": 1
        },
        {
          "id": "8f607951-ba41-4362-8323-e8b4b96ad122",
          "name": "Fetch Source Image Again",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1880,
            432
          ],
          "parameters": {
            "url": "={{ $('Set Variables').item.json.source_image }}",
            "options": {}
          },
          "typeVersion": 4.2
        },
        {
          "id": "6933f67d-276b-4908-8602-654aa352a68b",
          "name": "Sticky Note8",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            220,
            120
          ],
          "parameters": {
            "width": 359.6648027457353,
            "height": 352.41026669883723,
            "content": "## Try It Out!\n### This workflow does the following:\n* Downloads an image\n* Uses an object classification AI model to identify objects in the image.\n* Crops the objects out from the original image into new image files.\n* Indexes the image's object in an Elasticsearch Database to enable image search.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
          },
          "typeVersion": 1
        },
        {
          "id": "35615ed5-43e8-43f0-95fe-1f95a1177d69",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            800,
            280
          ],
          "parameters": {
            "width": 172.9365918827757,
            "height": 291.6881468483679,
            "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n🚨**Required**\n* Set your variables here first!"
          },
          "typeVersion": 1
        }
      ],
      "pinData": {},
      "connections": {
        "Set Variables": {
          "main": [
            [
              {
                "node": "Fetch Source Image",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Source Image": {
          "main": [
            [
              {
                "node": "Use Detr-Resnet-50 Object Classification",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Filter Score >= 0.9": {
          "main": [
            [
              {
                "node": "Fetch Source Image Again",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Upload to Cloudinary": {
          "main": [
            [
              {
                "node": "Create Docs In Elasticsearch",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Crop Object From Image": {
          "main": [
            [
              {
                "node": "Upload to Cloudinary",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Split Out Results Only": {
          "main": [
            [
              {
                "node": "Filter Score >= 0.9",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Source Image Again": {
          "main": [
            [
              {
                "node": "Crop Object From Image",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "When clicking \"Test workflow\"": {
          "main": [
            [
              {
                "node": "Set Variables",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Use Detr-Resnet-50 Object Classification": {
          "main": [
            [
              {
                "node": "Split Out Results Only",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 16,
    "workflowInfo": {
      "nodeCount": 17,
      "nodeTypes": {
        "n8n-nodes-base.set": {
          "count": 1
        },
        "n8n-nodes-base.filter": {
          "count": 1
        },
        "n8n-nodes-base.splitOut": {
          "count": 1
        },
        "n8n-nodes-base.editImage": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 7
        },
        "n8n-nodes-base.httpRequest": {
          "count": 4
        },
        "n8n-nodes-base.elasticsearch": {
          "count": 1
        },
        "n8n-nodes-base.manualTrigger": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Jimleuk",
      "username": "jimleuk",
      "bio": "Founder @ Subworkflow.ai - the fastest way to build durable RAG applications.\n\nFreelance AI Automation Engineer based in London, UK. Since 2024, my n8n templates have documented my journey into applied AI and have helped hundreds of businesses and organisations get up to speed with AI automation. Today, I continue to explore use-cases as AI evolves and occasionally upload templates which I find novel and interesting.\n\nSubscribe to the RSS Feed: https://cdn.subworkflow.ai/n8n-templates/rss.xml",
      "verified": true,
      "links": [
        "https://linkedin.com/in/jimleuk"
      ],
      "avatar": "https://gravatar.com/avatar/4ab99e51473df76838beeaac908747f7928c625f869794815cabe34016967d51?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 9,
        "icon": "fa:image",
        "name": "n8n-nodes-base.editImage",
        "codex": {
          "data": {
            "details": "The Edit Image node allows you to manipulate and edit images. Use this node when you want to:\n\n- Blur an image\n- Add a border to an image\n- Create a new image\n- Crop an image\n- Composite an image on top of another\n- Draw on an image\n- Get information about the image\n- Rotate an image\n- Change the size of an image\n- Shear an image along the X or Y axis\n- Add text to the image",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage/"
                }
              ]
            },
            "categories": [
              "Marketing",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Files",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Edit Image",
          "color": "#553399"
        },
        "iconData": {
          "icon": "image",
          "type": "icon"
        },
        "displayName": "Edit Image",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          },
          {
            "id": 27,
            "name": "Marketing"
          }
        ]
      },
      {
        "id": 19,
        "icon": "file:httprequest.svg",
        "name": "n8n-nodes-base.httpRequest",
        "codex": {
          "data": {
            "alias": [
              "API",
              "Request",
              "URL",
              "Build",
              "cURL"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "📈",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/",
                  "icon": "✍️",
                  "label": "Learn how to automatically cross-post your content with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/",
                  "icon": "🛳",
                  "label": "Running n8n on ships: An interview with Maranics"
                },
                {
                  "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/",
                  "icon": " 🪢",
                  "label": "What are APIs and how to use them with no code"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/world-poetry-day-workflow/",
                  "icon": "📜",
                  "label": "Celebrating World Poetry Day with a daily poem in Telegram"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/",
                  "icon": "🎨",
                  "label": "Automate Designs with Bannerbear and n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/",
                  "icon": "📱",
                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
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                {
                  "url": "https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/",
                  "icon": "🧰",
                  "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation"
                },
                {
                  "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/",
                  "icon": "🦄",
                  "label": "Learn how to use webhooks with Mattermost slash commands"
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
                },
                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
                  "icon": "📈",
                  "label": "A low-code bitcoin ticker built with QuestDB and n8n.io"
                },
                {
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