Mobiusi/Onion-Classification-and-Segmentation-Dataset

Onion Classification and Segmentation Dataset

The current agricultural industry faces challenges of high cost and low efficiency in crop monitoring and pest and disease detection. Existing solutions often rely on manual inspection, which is inefficient and prone to errors. This dataset aims to enhance the application capability of computer vision models in agriculture by providing high-quality onion images and segmentation annotations. The dataset construction process includes using professional cameras to shoot onion images under natural light conditions, and ensuring annotation consistency and accuracy through multiple rounds of annotation and expert review. Data will be stored in JPG format for original images and in JSON format for the corresponding mask information, facilitating subsequent deep learning training.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_class	string	The type of onion present in the image.
disease_presence	boolean	Indicates whether a disease is detected on the onion in the image.
lighting_conditions	string	A description of the lighting conditions when the image was taken.
growth_stage	string	The growth stage of the onion, such as seedling stage, maturity stage, etc.
surface_texture	string	A description of the surface texture characteristics of the onion.
defect_details	string	A description of any defects regarding the appearance or health of the onion.

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