Home/Agriculture/Orchard Scene Recognition Dataset

Orchard Scene Recognition Dataset

V1.0
Latest Update:
2025-10-15
Samples:
5000 records
File Size:
1.5G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
Orchard Management | Pest Monitoring | Crop Growth Assessment
Applications:
Object Detection | Image Classification

Brief Introduction

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.

Sample Examples

ImageFile NameResolutionObject ClassWeather Condition
dc5bf35f47f8e4bbe5f4dbb4cfd5b98e.jpg6960*4640apple tree, cowsunny
5b47fc969c318930c2bfc2ded1fae6a6.jpg6960*4640fruit treesunny

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
object_classstringThe category of objects detected in the image, such as fruit trees, fruits, and agricultural machinery.
weather_conditionstringThe weather condition at the time the image was taken, such as sunny, cloudy, or rainy.

Compliance Statement

ItemContent
Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China’s Data Security Law / EU GDPR / supports enterprise data access logs

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