Garden Flower Azalea Recognition Image Dataset
#image classification #plant recognition #automatic labeling #horticultural management #plant research #agricultural technology
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In current horticultural management, accurately recognizing azalea varieties is a challenge due to the subtle differences in appearance among varieties. Traditional manual recognition is inefficient and prone to errors. Existing solutions, although utilizing some image recognition technologies, often lack specific datasets for azaleas, resulting in limited accuracy and false recognition capabilities. This dataset aims to solve the accuracy challenges in azalea recognition through large-scale, high-quality azalea image data, aiding the enhancement of intelligent horticultural management. The data consists of azalea images taken with modern high-definition cameras in different seasons and weather conditions, ensuring diversity and authenticity. The images are subjected to multiple rounds of manual and expert review for labeling, with strict control over labeling consistency. The labeling team includes botany experts and experienced horticultural professionals, with more than 20 members. Data preprocessing includes image enhancement, noise reduction, and format conversion, stored in JPG format, organized into a variety directory structure.
Dataset Insights
Sample Examples
c754c40d**.jpg|1280*1706|210.85 KB
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species | string | The name of the azalea species, such as Rhododendron simsii, Rhododendron schlippenbachii, etc. |
| color | string | The color of the azalea flowers, such as red, pink, white. |
| bloom_stage | string | The blooming stage of the azalea at the time of photo capture, such as bud, full bloom, wither. |
| leaf_condition | string | The condition of the azalea leaves, such as healthy, pest-damaged. |
| environment | string | The background environment where the azalea is photographed, such as park, greenhouse. |
| lighting_condition | string | The lighting conditions when the photo was taken, such as natural light, strong light, shade. |
| plant_height | decimal | The height of the azalea plant, measured in meters. |
| flower_count | int | The number of visible azalea flowers. |
| image_quality | string | The quality assessment of the image, such as high-definition, blurry. |
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 Azalea Flower Recognition Image Dataset?
- This dataset focuses on improving the accuracy of identifying azalea flower species, aiding researchers and practitioners in better recognizing azalea types.
- What fields of research can this dataset be used for?
- This dataset is suitable for plant recognition in agriculture, forestry, and fisheries, horticulture research, and applications in computer vision.
- What are the advantages of using this dataset for azalea recognition?
- Using this dataset can significantly improve the accuracy of azalea species identification, providing precise information for horticulture enthusiasts and professionals.
- What modalities of data are included in the Garden Azalea Flower Recognition Image Dataset?
- The dataset includes image modality data, focusing on the collection of images for different azalea varieties.
- How can this dataset be used for machine learning model training?
- Researchers can use the images in this dataset to train machine learning models to enhance the accuracy of azalea image recognition.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flower Azalea Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/966af7cb748e3ac283c4abc36f8b2069},
urldate={2026-02-04},
keywords={azalea recognition,image classification dataset,agriculture and forestry AI,horticultural automation},
version={1.0}
}Using this in research? Please cite us.
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