yihong1120 / Construction-Hazard-Detection

An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.

Date Created 2024-01-02 (5 months ago)

Commits 303 (last one 6 days ago)

Stargazers 96 (9 this week)

Watchers 8 (5 this week)

Forks 2

License agpl-3.0

Ranking

RepositoryStats indexes 523,840 repositories, of these yihong1120/Construction-Hazard-Detection is ranked #275,718 (47th percentile) for total stargazers, and #234,250 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #49,586/100,813.

yihong1120/Construction-Hazard-Detection is also tagged with popular topics, for these it's ranked: deep-learning (#4,813/7720), machine-learning (#4,502/7264), computer-vision (#1,662/2768), artificial-intelligence (#1,080/1777), object-detection (#653/1065), image-processing (#608/997)

Other Information

There have been 1 release, the latest one was published on 2024-05-07 (24 days ago) with the name v1.0.0.

Homepage URL: https://yihong-server.mooo.com/label/%E9%AB%98%E9%9B%84%E5%B8%82

All Topics

safety yolov8 alert-system construction deep-learning model-training computer-vision data-annotation post-processing hazard-detection image-processing machine-learning object-detection real-time-detection artificial-intelligence

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303 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-31 @ 08:34pm, id: 738155120 / R_kgDOK_9acA