Mobiusi/Weed-Detection-Dataset

Weed Detection Dataset

Currently, the agricultural field faces a serious threat to crop growth due to weeds, resulting in reduced crop yield and resource waste. Existing weed detection methods often rely on manual observation, which is not only inefficient but also prone to subjective influence. To improve the accuracy and efficiency of weed detection, this dataset aims to provide high-quality weed image data to support the development of automated object detection technology. The data collection is conducted using drones during different crop growth stages, ensuring data diversity. Each image undergoes multiple rounds of annotation and consistency checks to ensure annotation accuracy and reliability. The data is stored in JPG format, with a clear organizational structure for easy subsequent processing and analysis.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
weed_location	string	The location of the weed in the image, usually represented in the form of coordinates.
lighting_conditions	string	The lighting conditions at the time the image was taken, such as sunny or cloudy.

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