Weed Species Classification Dataset
#image classification #deep learning training #model evaluation #crop management #weed identification #precision agriculture
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current agricultural sector faces the challenge of weed management, as the variety of weeds has a severe impact on crops. Traditional methods of weed identification are inefficient and fail to meet the needs of precision agriculture. Therefore, it is necessary to develop an efficient weed species classification dataset. This dataset aims to provide high-quality training data for deep learning models in weed identification. Data collection was conducted using high-resolution cameras in various farmland environments, ensuring diversity and representativeness of the data. Each image has undergone multiple rounds of annotation and consistency checks, reviewed by professionals to ensure annotation accuracy. Data is stored in JPG format and organized by weed species for easy retrieval and usage.
Dataset Insights
Sample Examples
6a861dbe**.jpg|6240*4160|7.47 MB
3d5869fd**.jpg|4899*2514|2.24 MB
783438f7**.jpg|4603*3049|2.04 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species_name | string | The specific name of the identified weed species. |
| growth_stage | string | The current growth stage of the weed, such as seedling or mature. |
| leaf_shape | string | The shape characteristics of the weed's leaves. |
| flower_presence | boolean | Indicates whether the weed is flowering; true if it's in the flowering stage. |
| coloration | string | The coloration characteristics of the weed, such as green, purple, etc. |
| habitat | string | The typical environment where the weed grows, such as fields, roadsides, etc. |
| texture | string | The textural characteristics of the weed surface, such as smooth or rough. |
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 |
Frequently Asked Questions
- In which fields is the weed species classification dataset mainly used?
- The weed species classification dataset is mainly used in agriculture, especially in precision agriculture and crop management.
- What are the benefits of using the weed species classification dataset?
- Using this dataset can improve crop yields, reduce weed management costs, and aid in the development of smart agriculture technologies.
- How is the image data in the weed species classification dataset collected?
- The images in this dataset are typically collected through field photography, drones, or satellite imagery, ensuring diversity and practicality of the data.
- How can the weed species classification dataset be used to develop machine learning models?
- The dataset can be utilized by preprocessing it and employing deep learning techniques such as Convolutional Neural Networks (CNN) to train and test classification models.
- How many types of weeds are included in the weed species classification dataset?
- The dataset typically includes a variety of common weed species, with the exact number depending on the dataset version and the collection scope.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Weed Species Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/344bc7378e01034476e30a1890573ec2},
urldate={2025-09-15},
keywords={weed classification dataset, agricultural dataset, image classification, deep learning},
version={1.0}
}Using this in research? Please cite us.
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