Curated

(5/5)

[2/2] KNN classifier (lands dataset)

Here we're classifying existing types of satellite imagery of land types: - 'agricultural', - 'airplane', - 'baseballdiamond', - 'beach', - 'buildings', - 'chaparral', - 'denseresidential', - 'forest', - 'freeway', - 'golfcourse', - 'harbor', - 'intersection', - 'mediumresidential', - 'mobilehomepark', - 'overpass', - 'parkinglot', - 'river', - 'runway', - 'sparseresidential', - 'storagetanks', - 'tenniscourt'

Integrations Used (2)

HTTP Request

Executeworkflow

Workflow Structure (10 nodes)

100%

Execute Workflow Trigger

Set

Image Test URL

Http Request

Embed image

Set

Qdrant variables + embedding + KNN neigbours

Http Request

Query Qdrant

Set

Propagate loop variables

Code

Majority Vote

Check tie

Set

Increase limitKNN

Set

Return class

Node Types:

http

code

transform

logic

trigger

Requires credentials

Prerequisites

Required Credentials (2)

HTTP Header Auth

Used by: Embed image

Docs

Qdrant

Used by: Query Qdrant

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 54/100

Custom Code

Conditional Logic

When to Use This Workflow

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workflow.json

{
  "id": "itzURpN5wbUNOXOw",
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "name": "[2/2] KNN classifier (lands dataset)",
  "tags": [
    {
      "id": "QN7etptCmdcGIpkS",
      "name": "classifier",
      "createdAt": "2024-12-08T22:08:15.968Z",
      "updatedAt": "2024-12-09T19:25:04.113Z"
    }
  ],
  "nodes": [
    {
      "id": "33373ccb-164e-431c-8a9a-d68668fc70be",
      "name": "Embed image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
...