Summary of Demystifying the Potential Of Chatgpt-4 Vision For Construction Progress Monitoring, by Ahmet Bahaddin Ersoz
Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring
by Ahmet Bahaddin Ersoz
First submitted to arxiv on: 20 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the application of OpenAI’s GPT-4 Vision, a Large Vision-Language Model (LVLM), in the construction industry. It focuses on using high-resolution aerial imagery to monitor and track construction project progress. The study demonstrates GPT-4 Vision’s capabilities in scene analysis and developmental change tracking, but notes limitations in precise object localization and segmentation. Despite these challenges, the potential for future advancements is considerable. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary GPT-4 Vision helps with monitoring construction projects using aerial images. It’s good at recognizing different stages of a project, what materials are being used, and what machines are on site. However, it can struggle to precisely identify objects. This technology has big possibilities for the future if we train it better and combine it with other computer vision tools and digital twins. |
Keywords
» Artificial intelligence » Gpt » Language model » Tracking
