Datasets:
file_name stringclasses 2 values | quality stringclasses 2 values | object_type stringclasses 2 values | lighting_condition stringclasses 2 values | weather_condition stringclasses 2 values | vegetation_density stringclasses 2 values | season stringclasses 1 value | soil_visibility stringclasses 2 values | field_size stringclasses 1 value |
|---|---|---|---|---|---|---|---|---|
13b2d5059fa57f8f1f09e2d3d479ca02.jpg | 5397*3602 | Tea plant, Worker | Cloudy | Cloudy | Moderately dense | Summer | Slightly visible | Large |
f6a5ab57f3d305b4d9b681e050414b88.jpg | 5184*2912 | Tea tree | Sunny | Sunny | Very dense | Summer | Not visible | Large |
Tea Garden Scene Recognition Dataset
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.
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 |
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
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