Web Scraping & Data Extraction
[3/3] Anomaly detection tool (crops dataset)
[3/3] Anomaly detection tool (crops dataset)
Manual
High
17
Nodes
Manual
Trigger
High
Complexity
7/22/2025
Added
Workflow Overview
Total Nodes
17
Node Types
5
Node Types
sticky Note
Sticky Note1, Sticky Note4, Sticky Note3, Sticky Note2, Sticky Note5, Sticky Note6, Sticky Note7, Sticky Note22
8 nodes
http Request
Embed image, Get similarity of medoids, Total Points in Collection, Each Crop Counts
4 nodes
code
Compare scores
1 node
set
Variables for medoids, Info About Crop Labeled Clusters, Image URL hardcode
3 nodes
execute Workflow Trigger
Execute Workflow Trigger
1 node
Workflow JSON
15.2 KB
{
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"meta": {
"instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
},
"name": "[3/3] Anomaly detection tool (crops dataset)",
"tags": [
{
"id": "spMntyrlE9ydvWFA",
"name": "anomaly-detection",
"createdAt": "2024-12-08T22:05:15.945Z",
"updatedAt": "2024-12-09T12:50:19.287Z"
}
],
"nodes": [
{
"id": "e01bafec-eb24-44c7-b3c4-a60f91666350",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
180
],
"parameters": {
"color": 6,
"width": 400,
"height": 740,
"content": "We are working here with crops dataset: \nExisting (so not anomalies) crops images in dataset are:\n- 'pearl_millet(bajra)',\n- 'tobacco-plant',\n- 'cherry',\n- 'cotton',\n- 'banana',\n- 'cucumber',\n- 'maize',\n- 'wheat',\n- 'clove',\n- 'jowar',\n- 'olive-tree',\n- 'soyabean',\n- 'coffee-plant',\n- 'rice',\n- 'l...Showing first 1000 characters. Click "Expand" to view the full JSON.