Orchard Scene Recognition Dataset
#Object Detection #Image Classification #Orchard Management #Pest Monitoring #Crop Growth Assessment
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-29
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
dc5bf35f**.jpg|6960*4640|9.92 MB
5b47fc96**.jpg|6960*4640|9.52 MB
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 | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 |
Frequently Asked Questions
- How many images are included in the Orchard Scene Recognition Dataset?
- The Orchard Scene Recognition Dataset includes numerous high-quality orchard scene images for object detection research.
- What is the main purpose of the Orchard Scene Recognition Dataset?
- The dataset aims to enhance the efficiency of orchard management and monitoring by using precise object detection techniques to identify and analyze different objects within an orchard.
- What agricultural applications does the Orchard Scene Recognition Dataset support?
- The dataset supports various agricultural applications, such as monitoring tree health, assessing fruit ripeness, and identifying pests and diseases.
- What is the annotation quality of the images in the Orchard Scene Recognition Dataset?
- The Orchard Scene Recognition Dataset provides high-quality image annotations to ensure the accuracy and reliability of object detection models.
- What techniques were used for annotation in the Orchard Scene Recognition Dataset?
- The dataset utilizes advanced annotation techniques to ensure that every object in the images is accurately labeled and classified.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Orchard Scene Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/0810af8bec9c63cb96dc46d669c86818},
urldate={2025-09-15},
keywords={Orchard Scene Recognition, Object Detection Dataset, Agricultural Image Data, Pest Monitoring},
version={1.0}
}Using this in research? Please cite us.
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