Intelligent Counting of Densely-Packed Building Materials with Special-Shaped Sections： a Comparative Study of Specialized Models and Large Models

LIU Siyuan; CHEN Yutao; HUANG Qian; LI Yang; CHEN Jun

doi:10.3724/j.gyjzG24071003

Volume 56 Issue 6

Jun. 2026

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LIU Siyuan, CHEN Yutao, HUANG Qian, LI Yang, CHEN Jun. Intelligent Counting of Densely-Packed Building Materials with Special-Shaped Sections： a Comparative Study of Specialized Models and Large Models[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 273-281. doi: 10.3724/j.gyjzG24071003

Citation:

LIU Siyuan, CHEN Yutao, HUANG Qian, LI Yang, CHEN Jun. Intelligent Counting of Densely-Packed Building Materials with Special-Shaped Sections： a Comparative Study of Specialized Models and Large Models[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 273-281. doi: 10.3724/j.gyjzG24071003

Citation:

LIU Siyuan, CHEN Yutao, HUANG Qian, LI Yang, CHEN Jun. Intelligent Counting of Densely-Packed Building Materials with Special-Shaped Sections： a Comparative Study of Specialized Models and Large Models[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 273-281. doi: 10.3724/j.gyjzG24071003

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Intelligent Counting of Densely-Packed Building Materials with Special-Shaped Sections： a Comparative Study of Specialized Models and Large Models

doi: 10.3724/j.gyjzG24071003

1. College of Architecture and Civil Engineering, Xinjiang University, Urumqi 830047, China;
2. College of Civil Engineering, Tongji University, Shanghai 200092, China;
3. China United Engineering Co. Ltd., Hangzhou 310052, China

Received Date: 2024-07-10
Available Online: 2026-07-06

Abstract

Abstract

In this paper， the intelligent counting problem of special-shaped section construction materials was comparatively studied through two methods： establishing a dedicated model and conducting secondary development based on large models. First， a large number of images of angle steel and wheel locks were taken on-site and labeled， and a basic dataset was constructed combined with image enhancement. Furthermore， by introducing measures such as the SE attention mechanism， WIoU loss function， dynamic snake convolution， and lightweight network architecture improvement to the classic YOLOv8 framework， high-precision counting of densely arranged special-shaped section construction materials was achieved. The average detection accuracy of the model in this paper for angle steel and wheel locks in the field environment reached 91.8% and 99.4%， respectively， showing good practical application effects. Subsequently， the same dataset was used for the secondary development of the special-shaped section detection model on the large model platform EasyDL. The comparison results showed that currently， the detection accuracy， training efficiency， and clarity of display effect of the secondary development model based on the large model platform were lower than those of the dedicated model. However， due to its low development technical threshold， convenient modeling， and strong versatility， it remained a very promising approach for the development of future general counting tasks.
- object detection,
- intelligent construction,
- building material counting,
- EasyDL

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References(20)

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