Scaffold Area Personnel Working at Heights Detection Dataset
#object detection #behavior recognition #image classification #working at heights monitoring #construction safety management #intelligent monitoring systems
- 500 records
- 1.5G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the environmental meteorology industry, construction safety still faces many challenges, especially in working at heights. Existing systems rely on manual monitoring, which is inefficient and prone to false alarms and omissions. This dataset is dedicated to improving the efficiency and accuracy of safety monitoring through recognition algorithms. Data is collected on construction sites using high-resolution cameras, ensuring real and usable data. The quality of the data has been reviewed multiple times by experts, ensuring high annotation consistency. Annotators are professionals from the relevant industry field, with a team of over 20 members. Advanced image enhancement techniques are used for preprocessing, and the data is stored in JPG format, categorized by time and location. It emphasizes annotation accuracy and data integrity, has comprehensive data coverage and diversity compared to similar datasets, can support a wide range of application needs, and has high scalability.
Dataset Insights
Sample Examples
9ecada75**.jpg|990*1203|319.37 KB
5442f881**.jpg|990*1205|486.82 KB
cf312924**.jpg|990*1193|526.66 KB
1c9201d3**.jpg|990*1202|433.84 KB
c0a1f74f**.jpg|1370*1080|542.78 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| person_count | int | The total number of people detected in the image. |
| scaffold_presence | boolean | Indicates whether scaffolding is present in the image. |
| person_position | string | The specific location coordinates of each person in the image. |
| safety_gear_detection | boolean | Indicates whether the people in the image are wearing safety gear. |
| activity_type | string | The specific type of activity or behavior of the people in the image. |
| height_level | string | The height level where the people are located in the image. |
| weather_condition | string | Weather conditions at the time the image was taken. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Scaffolding Area Personnel High-Altitude Work Detection Dataset?
- The Scaffolding Area Personnel High-Altitude Work Detection Dataset is a dataset of images specifically used for identifying and detecting high-altitude work behaviors of personnel in scaffolding areas at construction sites.
- What are the application scenarios for this dataset?
- This dataset can be used in fields such as construction site safety monitoring, environmental management, and personnel behavior analysis.
- How can this dataset be used to improve construction site safety?
- By analyzing the images in the dataset, one can automatically detect personnel activities in the scaffolding areas of construction sites, thereby providing timely alerts when potential hazards are found, which helps improve site safety.
- How does this dataset differ from other meteorological environment datasets?
- This dataset focuses on detecting high-altitude work behaviors of personnel in scaffolding areas, as opposed to traditional meteorological data which primarily focuses on weather monitoring. It is more concerned with the safety of construction workers.
- What should be considered when using this dataset?
- When using this dataset, it is important to consider privacy protection in the images and issues of data bias, ensuring that the dataset is used without infringing on personal privacy and remains fair and objective.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Scaffold Area Personnel Working at Heights Detection Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ea59247852d55b3b35e8a90f3f186745?dataset_scene_id=11},
urldate={2026-02-04},
keywords={working at heights detection, scaffold safety monitoring, construction image dataset},
version={1.0}
}Using this in research? Please cite us.
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