Mobiusi/Orchard-Scene-Recognition-Dataset

Orchard Scene Recognition Dataset

The current agricultural industry faces issues with low orchard management efficiency and untimely monitoring of pests and diseases. Existing solutions offer a degree of monitoring but often lack real-time capabilities and precision, preventing farmers from reacting promptly. This dataset aims to enhance the application of object detection algorithms in orchard management by providing high-quality orchard scene images and annotations. Data collection is conducted using drones, covering different seasons and lighting conditions to ensure data diversity. We implemented multiple rounds of annotation and expert reviews to ensure annotation quality. In addition, the data is stored in JPEG format and accompanied by JSON files providing annotation information for easy use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_class	string	The category of objects detected in the image, such as fruit trees, fruits, and agricultural machinery.
weather_condition	string	The weather condition at the time the image was taken, such as sunny, cloudy, or rainy.

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