Cargo Handling Personnel Posture Image Dataset

Name: Cargo Handling Personnel Posture Image Dataset
Creator: MOBIUSI INC
Published: 2026-02-04

#posture recognition #action detection #worker behavior analysis #express logistics #worker operation analysis #safety monitoring

500 records
1.5G
JPG
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

In the express logistics industry, with the increase in freight volume and efficiency requirements, the analysis of workers' postures becomes particularly important. However, existing solutions often rely on expensive sensors and complex installation environments, making it difficult to apply in large-scale environments. This dataset aims to solve issues related to work posture detection, efficiency evaluation, and safety enhancement through image analysis. Data collection is carried out by recording the work process of workers handling goods with high-definition camera equipment in a real logistics center environment, ensuring data authenticity and diversity. Data quality control includes multiple rounds of annotation and consistency checks, with the annotation team comprising 10 members with backgrounds in ergonomics and computer vision. Data preprocessing uses techniques like cropping and augmentation to ensure data efficiency and compatibility. Images are stored in JPG format, organized by scene and action tags.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
pose_type	string	The working posture type of cargo handlers, such as bending, lifting, carrying, etc.
person_count	integer	The number of handlers present in the image.
equipment_usage	boolean	Whether handlers used auxiliary equipment.
load_visibility	string	The visibility of the cargo in the image, such as fully visible, partially visible, or not visible.
environment_type	string	The type of work environment, such as indoor or outdoor.
safety_gear	boolean	Whether handlers are wearing safety gear, such as gloves or protective equipment.
pose_angle	float	The angle of the posture of the handlers, such as the bending angle.
lighting_condition	string	The lighting condition in the image, such as bright or dark.
object_type	string	The type of cargo being handled.

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 purpose of the cargo handling workers' posture image dataset?: The dataset is used to analyze and optimize the working postures of cargo handling workers in the courier and logistics industry, helping to improve efficiency and reduce the risk of injury.

What research fields is this dataset suitable for?: The cargo handling workers' posture image dataset is suitable for research fields such as computer vision, human posture recognition, action recognition, and occupational safety.

What are the potential commercial applications of this dataset?: This dataset can be used to develop intelligent monitoring systems that automatically detect and correct improper cargo handling postures, thereby reducing the number of workplace injuries in the logistics industry.

What ethical issues should be considered when using this dataset?: When using this dataset, it's important to protect the privacy of workers and ensure that the collection and use of images comply with relevant laws, regulations, and ethical standards.

What methods can improve the analysis accuracy of this dataset?: Improving analysis accuracy can be achieved by increasing the amount of high-quality annotated data, using advanced image processing algorithms and deep learning models, and continuously updating the dataset's content.

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Cite this Work

@dataset{Mobiusi2026,
  title={Cargo Handling Personnel Posture Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/94baaf6e3579dc2fcb7c235e448e56c7?dataset_task_cate_id=2},
  urldate={2026-02-04},
  keywords={posture recognition dataset, logistics operation images, worker posture analysis, express dataset},
  version={1.0}
}

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