Home/Agriculture/Farmer Planting Pose Keypoint Dataset

Farmer Planting Pose Keypoint Dataset

V1.0
Latest Update:
2025-10-16
Samples:
15000 records
File Size:
1.8G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
agricultural monitoring | crop growth analysis | precision agriculture
Applications:
pose recognition | object detection

Brief Introduction

In the current agricultural industry, the demand for precision agriculture is increasing. However, the technology for monitoring and analyzing farmer planting poses is still insufficient. Existing solutions often rely on manual observation, which is inefficient and prone to errors, unable to meet the needs of efficient agricultural production. This dataset aims to provide high-quality farmer planting pose keypoint data to overcome the limitations of traditional monitoring methods and meet the need for real-time analysis of crop growth conditions. Data collection is performed using high-resolution cameras, capturing images in different planting environments to ensure data diversity and representativeness. We have implemented strict quality control measures, including multiple rounds of labeling and consistency checks, to ensure data accuracy and reliability. The data is stored in JPEG format, organized by image ID for easy subsequent processing and analysis.

Sample Examples

ImageFile NameResolutionFarmer PositionActivity IntensityWeather Conditions
dd71fb0ff6575645e56fc707bad8b27b.jpg6000*4000bent overmediumsunny
633af30d776044f40127d400d1f917b1.jpg6000*4000bending overmoderatesunny

Data Structure

FieldTypeDescription
file_namestringFile name
qualitystringResolution
farmer_positionstringThe approximate position of the farmer during planting, such as squatting, standing, etc., in the image.
activity_intensityfloatThe estimated intensity of planting activity based on posture keypoints and movement range.
weather_conditionsstringInferred weather conditions from the image analysis, such as sunny or cloudy.

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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