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---
title: Subdivision Plan Analyzer
emoji: 📐
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.32.1
app_file: app.py
pinned: false
license: mit
---
# 📐 Subdivision Plan Analyzer
An AI-powered tool to extract lot information from subdivision plans using OCR and computer vision.
## Features
- **Automatic Lot Detection**: Uses computer vision to identify lot boundaries
- **OCR Text Extraction**: Extracts lot numbers, dimensions, and areas
- **Smart Association**: Matches text to corresponding lot boundaries
- **Visual Annotation**: Shows detected lots with colored overlays
- **Data Export**: Download results as CSV file
- **Summary Statistics**: Provides lot count, total area, and averages
## How to Use
1. **Upload Image**: Upload a subdivision plan in PNG or JPG format
2. **Adjust Settings**:
- Scale: Set the plan scale (default 1:1000)
- Confidence: Adjust OCR confidence threshold (0.5-0.95)
3. **Process**: Click "Extract Lots" to analyze the plan
4. **Review Results**: Check the extracted data in the table
5. **Export**: Download the results as a CSV file
## What Gets Extracted
- **Lot Numbers**: 3-4 digit identifiers (100-9999)
- **Dimensions**: Frontage and depth measurements in meters
- **Areas**: Lot areas in square meters (m²)
- **Lot Types**: Classification as Standard, Corner, or Small lots
## Tips for Best Results
- Use high-resolution images with clear text
- Ensure lot numbers and measurements are legible
- Plans with consistent formatting work best
- Adjust confidence threshold if too many/few items detected
## Technical Details
- **OCR Engine**: EasyOCR with English language model
- **Image Processing**: OpenCV for boundary detection
- **Pattern Matching**: Regular expressions for data extraction
- **UI Framework**: Gradio for web interface
## Note
First run may take a few minutes as the OCR models download (approximately 64MB).
---
Made with ❤️ using Gradio and EasyOCR |