Community Contributed KNN Land Classifier (Unverified)
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Classifies land types from satellite imagery using a K-Nearest Neighbors (KNN) approach.
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About This Workflow
Overview
This workflow automates the classification of land types from satellite imagery. It leverages a pre-trained K-Nearest Neighbors (KNN) model to identify various land categories such as 'agricultural', 'forest', 'residential', and more. The workflow takes an image as input, embeds it, queries a vector database (Qdrant) for similar embeddings, and then uses a majority vote to determine the most likely land class.
Key Features
- Image embedding using a multimodal model.
- K-Nearest Neighbors search in a vector database.
- Majority vote for classification result.
- Handles potential ties in classification.
How To Use
- Configure the 'Voyage API' credentials.
- Configure the 'QdrantApi account' credentials.
- Set the
API_BASE_URLenvironment variable for the Voyage API. - Set the
BASE_URLenvironment variable for the Qdrant API. - Set the
WEBHOOK_URLenvironment variable for Qdrant Cloud URL. - The workflow expects an input with an
imageURLand optionally alimitKNNfor the KNN search.
Apps Used
Workflow JSON
{
"id": "7f1451a3-4324-42ec-8677-81cb5da190fc",
"name": "Community Contributed KNN Land Classifier (Unverified)",
"nodes": 0,
"category": "Image Analysis",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 7f1451a3-4324...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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Verification Info
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