Datasets:
file_name stringclasses 4 values | quality stringclasses 4 values | object_type stringclasses 2 values | object_count stringclasses 2 values | vegetation_density stringclasses 2 values | image_lighting stringclasses 1 value | weather_conditions stringclasses 1 value | tractor_presence stringclasses 1 value |
|---|---|---|---|---|---|---|---|
3b9193a5b8632161c483d5b008d37e3e.jpg | 4000*2667 | grassland | 1 | 0.9 | sunny | sunny | no |
3dac7dab4cd7823fa2ed0432db94dec4.jpg | 4464*2976 | grassland | 1 | 0.9 | sunny | sunny | no |
7968e0e85c62047f43e9c594144dd729.jpg | 7360*4912 | grassland | 1 | 0.9 | sunny | sunny | no |
d439b4e2d4fc40adb0f42b96c277e821.jpg | 5184*3456 | grass, person | 2 | 0.8 | sunny | sunny | no |
Field Grass Navigation Dataset
The current agricultural industry faces challenges in crop health monitoring and weed management, particularly in large farmland areas where effective automated tools for detecting and classifying crops and weeds are lacking. Existing solutions often rely on manual monitoring, which is inefficient and prone to errors. Therefore, the Field Grass Navigation Dataset aims to provide high-quality annotated images to support research and applications in object detection and image segmentation. The dataset is constructed by capturing images in real farmland environments with high-resolution cameras, employing multiple rounds of annotation and expert reviews to ensure accuracy and consistency of annotations, and is stored in JPG format for convenient subsequent processing and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of agricultural-related object detected in the image, such as tractor, grassland, crops, etc. |
| object_count | integer | The number of agricultural-related objects in the image. |
| vegetation_density | float | The vegetation coverage of grassland or crops in the image, ranging from 0 to 1. |
| image_lighting | string | The lighting conditions of the image, such as sunny, cloudy, or nighttime. |
| weather_conditions | string | The weather conditions when the image was taken, such as sunny, rainy, or snowy. |
| tractor_presence | boolean | Indicates whether a tractor is present in the image. |
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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