Floor Plan Datasets for Spatial AI and Real Estate Technology
Annotated floor plan datasets with room segmentation, space type labels, and metric dimension estimates. Built for floor plan parsing, spatial AI, and real estate technology applications.
20+
Years in AI training data
1,000+
Language locales
1M+
Hours of video annotated
ISO
27001 certified
The Challenge
Beyond Public Floor Plan Benchmarks
CubiCasa5K and Rent3D established floor plan parsing benchmarks. Production spatial AI for real estate search, facility management, and interior design requires floor plan coverage matched to your property types and annotation depth.
Real estate platforms need floor plan parsing across diverse property types, drawing styles, and scan quality levels found in listing submissions. Facility management AI needs metric space estimation and room type classification for commercial floor plan archives with non-standard drawing conventions.
Off-the-shelf floor plan datasets suffer from property type gaps (residential-only coverage misses commercial, industrial, and institutional floor plans) and scan quality gaps between clean benchmark drawings and real-world listing scans.
LXT builds custom floor plan datasets covering your property types, drawing styles, and annotation schema. We deliver room segmentation, space type labels, and metric estimates that train spatial AI systems for your specific real estate or facility management application.
Why Teams Upgrade
Limitations of Public Floor Plan AI Datasets
Standard benchmarks serve research well. Production deployments need more.
| Dataset | Primary Limitation | Impact |
|---|---|---|
| CubiCasa5K | 5,000 Finnish residential floor plans only; specific drawing style; no commercial, industrial, or non-European property types | Finnish residential |
| Rent3D | Apartment listings only; limited to residential; no commercial building or institutional floor plan coverage | Apartments-only |
| LIFULL HOME'S | Japanese residential market only; specific drawing conventions; no Western, commercial, or custom property types | Japanese market |
| R2V | Raster-to-vector conversion focus; limited annotation depth; no room semantic labels or metric dimension annotation | Vectorization-only |
| Structured3D | Synthetic 3D scenes only; no real floor plan drawings; sim-to-real gap limits production applicability | Synthetic only |
Not sure which specs you need?
Our data specialists help you scope the right dataset for your model architecture.
Configurable Specifications
Specs Built Around Your Model
Public datasets come fixed. Yours is configured for your architecture, environment, and use case.
Property Coverage
Floor Plan Types
- Residential: Apartments, houses, townhomes, and multi-family units
- Commercial: Offices, retail, hospitality, and mixed-use floor plans
- Institutional: Healthcare, education, industrial, and government facilities
Annotation Schema
Label Types
- Room Segmentation: Per-room polygon masks with room type classification labels
- Space Types: Custom space taxonomy aligned to your application requirements
- Metric Estimation: Room area and dimension estimates for spatial analysis models
Drawing Quality
Input Diversity
- Drawing Styles: CAD-quality, hand-drawn, scanned PDF, and photographed plans
- Scale Variation: Single-floor, multi-floor, and site plan coverage
- Languages: Multi-language text elements and symbol conventions
Need a custom configuration?
We've built datasets across dozens of domains and use cases. Let's scope yours.
Capturing Complexity
Edge Cases in Floor Plan Parsing
High-accuracy models handle rare attributes that public datasets miss.
Non-Standard Drawing Conventions
Older and international floor plans use non-standard symbols, abbreviations, and drawing conventions. Annotation guidelines document regional and era-specific convention handling.
Poor Scan Quality and Degradation
Real estate listing scans include folds, low contrast, and rotation. Realistic scan quality distribution in training data prevents failure on low-quality listing submissions.
Open Plan and Ambiguous Room Boundaries
Modern open-plan layouts have ambiguous room boundaries. Annotation guidelines define how to handle open-plan partitioning for consistent model training.
Multi-Floor and Complex Layouts
Multi-story buildings require understanding of stairwell, elevator, and floor connection elements. Multi-floor relationship annotation supports building-level spatial understanding models.
Ground Truth Quality
Human-in-the-Loop Annotation
Precise annotation bridges raw data and learnable signal. Expert annotators deliver precision automated tools can't match.
Room Segmentation
Expert annotators draw polygon boundaries for each room and space with room type labels from your classification taxonomy. Boundary precision guidelines applied per plan quality tier.
Metric Estimation Labels
Room area and principal dimension estimates by scale calibration or reference measurement for spatial size estimation model training.
Space Type Classification
Custom space type taxonomy annotation including room function, occupancy type, and building element labels aligned to your application schema.
Industry Applications
Floor Plan Datasets for Your Domain
Custom taxonomies and collection protocols for specific deployment contexts.
Real Estate Search
Floor plan parsing, virtual staging, space matching
Facility Management
Space utilization, occupancy planning, asset tracking
Construction AI
BIM extraction, code compliance, renovation planning
Spatial AI
Indoor navigation, robot localization, AR wayfinding
Property Valuation
Space quality assessment, comparable analysis
Interior Design AI
Furniture placement, space planning, style matching
PropTech Apps
Virtual tours, space visualization, measurement tools
Global Real Estate
Multi-market, multi-property-type floor plan coverage
Compliance & Ethics
Secure and Ethical Data Collection
Data collection involving people and sensitive content requires robust security, compliance, and ethical protocols at every stage.
Global Demographic Reach
Collection across 1,000+ locales and diverse demographics to prevent algorithmic bias in your deployed models.
ISO 27001 Certified
Sensitive projects processed in certified secure facilities meeting the highest information security standards.
GDPR & Privacy Compliance
All collection and annotation protocols vetted for consent and privacy. Legally robust for global deployment.
Frequently Asked Questions
Floor Plan Dataset FAQs
Can you cover commercial and institutional floor plans?+
Yes. We annotate floor plans across residential, commercial, office, healthcare, education, and industrial property types with property-type-specific annotation guidelines.
What room type taxonomy do you use?+
We implement your custom room type taxonomy rather than a fixed schema. Taxonomy design consultation with your product team is included in project scoping.
Can you handle poor-quality listing scans?+
Yes. We design annotation protocols for variable quality input including skewed, low-contrast, and partially obscured scans. Quality metadata per floor plan is included in delivery.
What output formats do you deliver?+
COCO polygon JSON, SVG vector format, and custom JSON with room polygons and attribute labels. GIS-compatible outputs for facility management applications.
Can you annotate multi-floor building plans?+
Yes. Multi-floor plans are annotated with floor level labels and inter-floor connection elements (stairs, elevators, cores) for building-level spatial reasoning model training.
What does a custom floor plan dataset cost?+
Projects range from $10K for focused single-property-type datasets (1,000-5,000 floor plans) to $80K+ for large multi-type, multi-market collections with metric annotation.
Can you annotate CAD files as well as scanned drawings?+
Yes. CAD DWG and DXF files, PDF drawings, and raster image scans are all supported. We apply appropriate annotation methods for each input format.
Get Started
Scope Your Custom Floor Plan Dataset
Share your property types, annotation schema, and volume requirements. A spatial AI data specialist will provide a detailed proposal within 48 hours.
Please provide us with the details of your inquiry and one of our team members will be in touch.
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