Mobiusi/Weeding-Operation-Safety-Inspection-Dataset

Weeding Operation Safety Inspection Dataset

The current agricultural sector faces dual challenges of operation safety and efficiency improvement. Traditional weeding methods are inefficient and prone to safety hazards. Existing monitoring technologies mostly rely on manual inspection, which is inefficient and error-prone. This dataset aims to assist in the development of intelligent detection systems by providing high-quality images for weeding operation safety inspection, to enhance operational safety and efficiency. Data collection uses high-resolution cameras to capture images in various farmland environments to ensure sample diversity. To guarantee data quality, a combination of multiple rounds of annotation and expert review is used to ensure the consistency and accuracy of annotations. Data is stored in JPEG format for easy storage and transmission.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_type	string	The type of agricultural-related object detected in the image, such as tractors, workers, etc.
operation_status	string	The status of agricultural operations in the image, such as weeding in progress, pausing operations, etc.
safety_gear_detection	boolean	Detects whether workers are wearing safety equipment such as gloves, hats, etc.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com