Looking for a niche use case

📰 Reddit r/artificial

Learn to apply AI for automated floor plan processing and extraction of key architectural features

intermediate Published 7 Jul 2026
Action Steps
  1. Collect and preprocess a dataset of floor plans in a suitable format
  2. Train a computer vision model using a library like OpenCV to detect and extract exterior walls, corridor walls, unit demising walls, and unit numbers
  3. Apply image processing techniques to remove unwanted features from the floor plans
  4. Use a library like PyTorch or TensorFlow to fine-tune a pre-trained model for improved accuracy
  5. Test and evaluate the performance of the model on a holdout dataset
Who Needs to Know This

Architects, urban planners, and real estate professionals can benefit from automating floor plan processing to focus on higher-level design and analysis tasks

Key Insight

💡 Computer vision and machine learning can be used to automate the extraction of key features from floor plans, saving time and increasing accuracy

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Automate floor plan processing with AI! Extract key features like exterior walls and unit numbers with computer vision #AI #Architecture

Key Takeaways

Learn to apply AI for automated floor plan processing and extraction of key architectural features

Full Article

I'm looking for an AI that can take a floor plan of an apartment building and return a floor plan that has absolutely everything removed except for exterior walls, corridor walls, unit demising walls, and the unit number. Kinda running into roadblocks with this one. Common issues are models saying yes I can do that and ending up with circular answers and no solution submitted by
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