Tea Picking Action Recognition Dataset

#target detection #action recognition #agricultural automation #smart picking #machine vision

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

Updated:2026-03-13

AI Analysis & Value Prop

The current agricultural sector faces challenges such as low efficiency and high labor costs in the tea picking process. Traditional picking methods rely on labor, making automation and precision difficult to achieve. Existing solutions often lack precise recognition of picking actions, failing to meet the development needs of smart agriculture. This dataset aims to solve the problem of accurately recognizing tea picking actions through computer vision technology, promoting the development of agricultural automation. The dataset contains 5000 high-quality images of tea picking, captured using professional equipment in real environments to ensure the authenticity and diversity of the data. In terms of quality control, a combination of multi-round annotation and expert review ensures data consistency and accuracy. The data storage format is JPEG, using a standard file organization method for convenient subsequent data processing and analysis.

Dataset Insights

Sample Examples

514e6285**.jpg|6720*4480|5.66 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
action_type	string	The type of tea leaf picking action identified, such as picking, cutting, or gathering.
object_count	int	The number of tea leaf picking action objects detected in the image.
weather_condition	string	The weather condition at the time the image was captured, such as sunny, cloudy, or rainy.
lighting_condition	string	The lighting condition at the time the image was captured, such as natural light, strong light, or low light.

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 is the Tea Picking Action Recognition Dataset?: The Tea Picking Action Recognition Dataset is an object detection image dataset designed to identify and classify tea picking actions, promoting the development of agricultural intelligence.

What are the application scenarios of the Tea Picking Action Recognition Dataset?: This dataset can be used in agricultural automation to develop automated picking systems, helping to reduce labor demand and increase operational efficiency.

How does the Tea Picking Action Recognition Dataset assist in agricultural intelligence?: The dataset enables the training of models to accurately recognize picking actions, allowing for automated machine operations and thus increasing agricultural production efficiency.

What are the advantages of using the Tea Picking Action Recognition Dataset?: Training models with this dataset can enhance the automation of tea picking, reduce labor input, and improve picking quality through precise action recognition.

What types of image data are included in the Tea Picking Action Recognition Dataset?: The dataset primarily includes images of tea picking actions for object detection, which are used to train models to recognize and classify picking actions.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2025,
  title={Tea Picking Action Recognition Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/e891c96a4e8626bf806a2a67e40f3e35?dataset_scene_id=5},
  urldate={2025-10-22},
  keywords={tea picking, target detection dataset, agricultural automation, machine vision},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Products

Scene

Domain

Modality

Task