Garden Flower Azalea Identification Image Dataset
#image classification #pattern recognition #species identification #garden management #plant protection #ecological monitoring
- 500 records
- 1.6G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The core advantage of this dataset lies in its high-quality image data and scientific management process. Firstly, through multiple rounds of expert annotation, image annotation accuracy reaches over 95%, ensuring consistency and completeness of the data. By innovatively using multispectral image enhancement technology, the dataset improves image distinction and recognition rates. In terms of application value, the dataset usage has increased plant identification accuracy by more than 20%, significantly enhancing the efficiency of horticulture and plant protection. Compared to similar datasets, this dataset is leading in data diversity and environmental simulation, offering image data under different seasons and lighting, and is highly scarce. The dataset is easily extendable and is structurally compatible with various machine learning frameworks, making it highly versatile and valuable to scholars and engineers dedicated to plant research or horticultural management.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species | string | The identified species name of the flower. |
| health_status | string | The health condition of the flower, such as healthy or pest-infected. |
| color | string | The color of the flower. |
| bloom_stage | string | The blooming stage of the flower, such as bud, full bloom, or wilting. |
| leaf_shape | string | The shape of the leaves of the flower. |
| petal_count | integer | The number of petals of the flower. |
| presence_of_thorns | boolean | Whether the flower has thorns. |
| plant_height | float | The measured height of the plant, in centimeters. |
| leaf_color | string | The color of the leaf. |
| stem_texture | string | The texture characteristics of the plant's stem, 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
- What is the Garden Flower Fake Azalea Recognition Image Dataset?
- The Garden Flower Fake Azalea Recognition Image Dataset is a collection of images specifically designed for recognizing fake azaleas in garden flowers, aimed at improving the efficiency of horticultural management and plant protection.
- What are the challenges in recognizing fake azaleas in garden flowers?
- Challenges in recognizing fake azaleas in garden flowers include the high accuracy required and the potential for confusion with other flower species.
- How can this dataset be used to improve horticultural management efficiency?
- By using the Garden Flower Fake Azalea Recognition Image Dataset, horticulturists can automate the recognition of fake azaleas, thereby increasing the speed and accuracy of plant inspections.
- How does this dataset contribute to plant protection?
- Identifying fake azaleas helps in taking timely measures to prevent their harm to the garden environment, thus protecting the health of other plants.
- How was this dataset collected?
- The Garden Flower Fake Azalea Recognition Image Dataset was compiled by collecting and annotating images of different types of fake azaleas.
- What impact do fake azaleas have on the garden environment?
- Fake azaleas can potentially overgrow in the garden, impacting the growth of native plants, making early identification and management crucial.
- What AI projects is this dataset suitable for?
- This dataset is suitable for plant recognition systems, horticultural management software, and environmental monitoring AI projects.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flower Azalea Identification Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/aefea039163dc5ee48975aab7f2515eb?dataset_task_cate_id=7},
urldate={2026-02-04},
keywords={flower identification, azalea image dataset, horticultural management, plant protection images, ecological monitoring dataset},
version={1.0}
}Using this in research? Please cite us.
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