Tea Garden Scene Recognition Dataset

#object detection #image classification #crop monitoring #precision agriculture #agricultural automation

5000 records
1.2G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

The current agriculture industry faces challenges such as low crop monitoring efficiency and difficulty in pest and disease identification. Existing solutions often rely on traditional manual inspections, which are time-consuming and prone to errors. Therefore, this dataset aims to assist in developing smarter object detection algorithms by providing high-quality tea garden scene images, thereby enhancing the level of agricultural production intelligence. The dataset includes 5000 carefully annotated tea garden images covering different growth stages and environments. Data collection is conducted using high-resolution cameras under various time and weather conditions to ensure sample diversity. In terms of quality control, multiple rounds of annotation and expert review were implemented to ensure consistency and accuracy of the annotations. The data is stored in JPG format, organized by category and environmental conditions for easy subsequent processing and analysis.

Dataset Insights

Sample Examples

f6a5ab57**.jpg|5184*2912|2.70 MB

13b2d505**.jpg|5397*3602|5.01 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
object_type	string	The specific type of object in the scene, such as tea plant, worker, tool, etc.
lighting_condition	string	The lighting condition in the scene, such as sunny, cloudy, dusk, etc.
weather_condition	string	The weather condition at the time of capture, such as sunny, cloudy, rainy, etc.
vegetation_density	string	The density of vegetation in the scene, described as sparse, moderately dense, or very dense.
season	string	The season at the time of capture, such as spring, summer, autumn, winter.
soil_visibility	string	The visibility of the soil in the scene, such as visible, slightly visible, or not visible.
field_size	string	The visible size range of the tea plantation in the photo, such as small, medium, large.

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

Frequently Asked Questions

What can the tea garden scene recognition dataset be used for?: This dataset can be used to recognize and detect various scenes and objects in tea gardens to aid in precise agricultural management and the development of smart agricultural technologies.

What is the main application field of the tea garden scene recognition dataset?: The main application field is agriculture, especially in monitoring, management, and pest control of tea gardens.

How can I use the tea garden scene recognition dataset for research?: You can use this dataset for computer vision research in agriculture, such as developing algorithms to recognize specific scenes in tea gardens and creating smart solutions to improve tea cultivation efficiency.

What contribution does the tea garden scene recognition dataset make to agricultural intelligence?: By providing detailed scene information and annotations of tea gardens, this dataset supports automation in agricultural machinery recognition and decision-making, significantly enhancing production efficiency and management.

What are the technical challenges in using the tea garden scene recognition dataset?: A major challenge is accurately recognizing the complex and dynamic environment, plant growth stages, and various objects in tea gardens, which is a key issue in algorithm development.

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Cite this Work

@dataset{Mobiusi2025,
  title={Tea Garden Scene Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/29e6c8a0397345590681617f48330c62},
  urldate={2025-09-15},
  keywords={tea garden dataset, agricultural object detection, crop recognition data, precision agriculture dataset},
  version={1.0}
}

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