Latest Update: | 2025-10-16 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 1.8G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: | ![]() |
Holder: | ![]() | ||
Industry Scope: | agricultural monitoring | crop growth analysis | precision agriculture | ||
Applications: | pose recognition | object detection |
Image | File Name | Resolution | Farmer Position | Activity Intensity | Weather Conditions |
---|---|---|---|---|---|
![]() | dd71fb0ff6575645e56fc707bad8b27b.jpg | 6000*4000 | bent over | medium | sunny |
![]() | 633af30d776044f40127d400d1f917b1.jpg | 6000*4000 | bending over | moderate | sunny |
Field | Type | Description |
---|---|---|
file_name | string | File name |
quality | string | Resolution |
farmer_position | string | The approximate position of the farmer during planting, such as squatting, standing, etc., in the image. |
activity_intensity | float | The estimated intensity of planting activity based on posture keypoints and movement range. |
weather_conditions | string | Inferred weather conditions from the image analysis, such as sunny or cloudy. |
Item | Content |
---|---|
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 |
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