A new benchmark model for the automated recognition of a wide range of heavy construction equipment
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Updated
Apr 16, 2024 - Jupyter Notebook
A new benchmark model for the automated recognition of a wide range of heavy construction equipment
construction site : RR FOUNDATIONS SITE
Official code for "Deep-Learning Based Construction Progress Tracking and Material Counting Using Existing Site Surveillance Camera"
Selenium is the 10 page based construction website
Code tooling to facilitate the measuring of air quality (on construction sites)
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
"Streamline project access with our Construction Login Page Template. Effortlessly manage team logins, enhance security, and ensure seamless collaboration. Tailored for construction professionals, it's the gateway to efficient project management."
58255-Images-Object-Detection-Data-in-Construction-Site-Scenes
Automated image scraper powered by Deno KV and GitHub Actions. Scrapes a live photo of the Las Vegas Formula 1 track build every ~10 minutes.
Hackathon for construction sites
This project is for construction material recognition from the images collected at a construction site.
Moxx.co.ke Construction website. It encompasses marketing and ways through which clients can reach Moxx organization.
Tool for detecting cracks on construction materials (based on YOLO V8 + SAHI). Simple measurements made easy with a GUI
Landing Page for the Construction Site, HNG7 Internship
An approach to solve crane placement problem in construction site layout planning using linear optimization, as explored by Dr Justin Yeoh. Adapted from code produced by Dr Justin Yeoh on line 784 of scp_old.py
Construction Website Portfolio
Real-time PPE detection based on YOLO. Open high-quality dataset.
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