Datasets:
tags:
- object detection
- image classification
- agriculture management
- crop monitoring
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
pretty_name: Weed Detection Dataset
size_categories:
- 1B<n<10B
Weed Detection Dataset
Currently, the agricultural field faces a serious threat to crop growth due to weeds, resulting in reduced crop yield and resource waste. Existing weed detection methods often rely on manual observation, which is not only inefficient but also prone to subjective influence. To improve the accuracy and efficiency of weed detection, this dataset aims to provide high-quality weed image data to support the development of automated object detection technology. The data collection is conducted using drones during different crop growth stages, ensuring data diversity. Each image undergoes multiple rounds of annotation and consistency checks to ensure annotation accuracy and reliability. The data is stored in JPG format, with a clear organizational structure for easy subsequent processing and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| weed_location | string | The location of the weed in the image, usually represented in the form of coordinates. |
| lighting_conditions | string | The lighting conditions at the time the image was taken, such as sunny or cloudy. |
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