Weed Detection Dataset
#object detection #image classification #agriculture management #crop monitoring
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-09
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
e93261df**.jpg|4464*2976|2.59 MB
4bcc5a27**.jpg|4000*2667|1.31 MB
3c8d3ec1**.jpg|5184*3456|3.85 MB
f9a3f11f**.jpg|7360*4912|6.79 MB
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 | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 |
Frequently Asked Questions
- What is the main use of the Weed Detection Dataset?
- The Weed Detection Dataset is primarily used for high-quality object detection in the agricultural sector to aid in crop health management.
- How does the Weed Detection Dataset assist the agriculture industry?
- The Weed Detection Dataset assists the agriculture industry by providing accurate object detection data, improving weed management and crop yields.
- What type of data is included in the Weed Detection Dataset?
- The Weed Detection Dataset includes high-quality images necessary for object detection.
- How does the Weed Detection Dataset improve crop health management?
- By offering accurate weed identification and localization capabilities, the Weed Detection Dataset helps farmers take timely actions to improve crop health management.
- What are the benefits of using the Weed Detection Dataset?
- Using the Weed Detection Dataset can increase agricultural productivity and reduce the time and human resources spent on weed identification.
- What agricultural applications is the Weed Detection Dataset suitable for?
- The Weed Detection Dataset is suitable for precision agriculture, farm management systems, and applications developed for automated agricultural machinery.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Weed Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f7bea362546aad5f3b5d3531048e1e8f},
urldate={2025-09-15},
keywords={weed detection, agriculture dataset, object detection dataset, machine learning, image recognition},
version={1.0}
}Using this in research? Please cite us.
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