Dataset for Images Recognizing the Plant Ixeridium in Gardens
#Image classification #object detection #plant recognition #Garden management #plant recognition #agricultural research #ecological protection
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the current garden plant management industry, there is a challenge to accurately identify plant species. Ixeridium is often confused with other flowers due to its similar appearance, leading to various inconveniences in management. Existing recognition systems often fail to achieve expected accuracy due to insufficient and less diverse sample data. This dataset aims to provide high-quality Ixeridium image data, thereby improving the precision and reliability of plant recognition models. Data collection is done using professional-grade cameras under various natural lighting conditions, covering different seasons and various growth states. Multiple rounds of annotation and expert review mechanisms ensure data accuracy, with annotation by an expert team with a botanical background. Data preprocessing includes steps such as image augmentation and standardization to ensure consistent image quality for model input. Data is stored in JPG format and managed by plant species and shooting environment.
Dataset Insights
Sample Examples
f72daa43**.jpg|1280*1706|729.19 KB
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| plant_species | string | The species of plant displayed in the image. |
| plant_health | string | The health condition of the plant in the image. |
| plant_stage | string | The growth stage of the plant in the image, such as seedling, flowering, etc. |
| image_background | string | The background environment when the image was taken, such as indoor, outdoor, garden, etc. |
| image_clarity | string | The clarity of the image, such as blurry, clear. |
| plant_color | string | The color description of the plant in the image. |
| leaf_shape | string | The shape of the leaves of the plant in the image. |
| flower_count | integer | The number of flowers appearing in the image. |
| leaf_count | integer | The number of leaves visible in the image. |
| visible_disease_signs | string | Whether there are visible signs of disease on the plant in the image, such as spots, wilting, etc. |
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
- What is the Garden Flower Dodder Recognition Image Dataset?
- The Garden Flower Dodder Recognition Image Dataset is an image dataset focused on recognizing dodder plants, aimed at improving recognition accuracy.
- In which fields is this dataset mainly applied?
- This dataset is mainly applied in agriculture, forestry, and fisheries, particularly in gardening and plant recognition fields.
- How can the Garden Flower Dodder Recognition Image Dataset be used to improve recognition accuracy?
- Researchers and practitioners can use this dataset to train image recognition models to improve the accuracy of dodder plant recognition.
- What types of images are included in the dataset?
- The dataset includes images of dodder plants from various environments and angles to provide comprehensive training material for recognition.
- What are the potential benefits of using this dataset?
- Using this dataset can enhance automation in botanical recognition, save human resources, and improve recognition accuracy and efficiency.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Dataset for Images Recognizing the Plant Ixeridium in Gardens},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/124f013f032181a9a5c86505dc77ef2e},
urldate={2026-02-04},
keywords={Ixeridium recognition, plant image dataset, garden flower identification, agroforestry dataset},
version={1.0}
}Using this in research? Please cite us.
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