Mobiusi/Tomato-Picking-Navigation-Dataset

Tomato Picking Navigation Dataset

The current agricultural sector faces challenges such as labor shortages and low production efficiency, especially in the picking process of crops like tomatoes, where manual picking is inefficient and costly. Existing automated picking solutions often lack high-precision target detection technology, leading to errors in robot positioning and tomato recognition. This dataset aims to provide a high-quality image dataset to assist researchers and developers in improving target detection algorithms, thereby enhancing the performance of intelligent picking robots. The dataset construction utilizes high-resolution cameras under various environmental conditions to ensure coverage of different lighting and background conditions. Regarding quality control, a standard process of multiple rounds of annotation and consistency checks is employed, reviewed by experienced experts to ensure data accuracy and reliability. Data storage uses JPEG format, with each image folder containing corresponding annotation files for ease of subsequent use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
disease_presence	bool	Indicates whether there is a presence of tomato diseases in the image.
disease_type	string	The type of disease affecting the tomatoes in the image.
background_type	string	The type of background in the image, such as field or greenhouse.
lighting_conditions	string	The lighting conditions present in the image.
shadow_presence	bool	Indicates whether there are noticeable shadows in the image.

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