Mobiusi/Raspberry-Variety-Classification-Dataset

Raspberry Variety Classification Dataset

The current agricultural industry faces challenges in managing the diversity of crop types, especially in raspberry cultivation and variety identification. Existing solutions often rely on manual identification, which is inefficient and prone to errors. This dataset aims to address the issue of low accuracy in variety classification by providing high-quality raspberry images, meeting the needs of intelligent agriculture. The dataset structure includes image ID, variety name, image path, and label information. Data collection uses high-resolution cameras under natural light conditions to ensure clarity and authenticity. In terms of quality control, multiple rounds of annotation and expert review enhance annotation consistency and ensure data reliability. Data is stored in JPG format for quick loading and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
berry_color	string	The color of the raspberry, such as red, yellow, etc.
berry_size	float	The size of the raspberry measured in centimeters.
berry_shape	string	The shape of the raspberry, such as round, oval, etc.
surface_texture	string	The texture characteristics of the raspberry surface.
leaf_presence	boolean	Whether the image includes leaves.
stem_visibility	boolean	The visibility of the stem in the image.
berry_clustering	boolean	Whether the raspberries are clustered together.

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