Dataset for Images Recognizing the Plant Ixeridium in Gardens

#Image classification #object detection #plant recognition #Garden management #plant recognition #agricultural research #ecological protection
Records
500 records
Size
1.2G
Format
JPG
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
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.

Overview

Dataset Insights

Preview

Sample Examples

f72daa43**.jpg|1280*1706|729.19 KB

ba08d025**.jpg|1280*1706|298.33 KB

508de775**.jpg|1280*1706|200.82 KB

e5bf3c45**.jpg|1280*1706|158.63 KB

4741f9e0**.jpg|1280*1706|245.65 KB

Schema

Technical Specifications

file_namestringFile name
qualitystringResolution
plant_speciesstringThe species of plant displayed in the image.
plant_healthstringThe health condition of the plant in the image.
plant_stagestringThe growth stage of the plant in the image, such as seedling, flowering, etc.
image_backgroundstringThe background environment when the image was taken, such as indoor, outdoor, garden, etc.
image_claritystringThe clarity of the image, such as blurry, clear.
plant_colorstringThe color description of the plant in the image.
leaf_shapestringThe shape of the leaves of the plant in the image.
flower_countintegerThe number of flowers appearing in the image.
leaf_countintegerThe number of leaves visible in the image.
visible_disease_signsstringWhether there are visible signs of disease on the plant in the image, such as spots, wilting, etc.

Trust

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

FAQ

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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Cite 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?dataset_scene_cate_type=8},
  urldate={2026-02-04},
  keywords={Ixeridium recognition, plant image dataset, garden flower identification, agroforestry dataset},
  version={1.0}
}

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