#constructionai

Polygon Annotation for Drywalls Datasets

We help construction and interior AI teams annotate drywall, wall joints, studs, panels, and finishing surfaces with precision and consistency. Whether you are developing AI for construction site monitoring, defect detection, or 3D reconstruction, our expert annotation team ensures every frame is labeled accurately - pixel by pixel.

We combine skilled human annotators and QA-driven pipelines to deliver clean, reliable data that makes your AI models truly understand the build environment.

Pixel-perfect drywall boundary annotations

Scalable datasets for computer vision projects

Fast turnaround with quality review layers

Let’s build the foundation your AI can trust.

Synthetic to Real: ControlNet for Construction #ResearchAward #ScienceAwards #ScienceFather #Scifax.

“Synthetic to Real in 55s: ControlNet for Construction” showcases how ControlNet transforms synthetic construction images into realistic, high-quality datasets in seconds. This AI-driven approach bridges the reality gap, boosts computer vision accuracy, and enables faster, cost-effective data generation for construction safety and automation.

Architecture Engineers Awards

🔗 Nominate now! 👉 https://architectureengineers.com/award-nomination/?ecategory=Awards&rcategory=Awardee

🌐 Visit: architectureengineers.com

📩 Contact: [email protected]

How AI is Reconstructing the Construction Market

AI is no longer a future tool, it’s now shaping the GCC construction market in real-time. From analyzing complex datasets to forecasting demand and project success, artificial intelligence is streamlining how the industry thinks, builds, and grows.

ProjectIntell explores how cutting-edge AI is driving smarter market analysis, risk prediction, and competitive insights to help businesses stay ahead.