Garden Flower Ixora Image Recognition Dataset
#Image classification #object detection #pattern recognition #Plant identification #horticultural management #agricultural technology #smart garden
- Records
- 500 records
- Size
- 1.5G
- Format
- JPG
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
With the development of smart agriculture and horticultural management technology, how to accurately identify and classify garden flowers has become an important step in improving industry efficiency. Currently, traditional flower recognition relies on manual experience, which is slow and prone to errors and cannot meet the growing automation needs of modern horticulture. This dataset aims to improve recognition efficiency and accuracy by providing standardized, structured image data for Ixora, facilitating the intelligent transformation of agricultural technology. The dataset is collected using high-definition digital cameras under various weather conditions and lighting environments to ensure sample diversity. For quality control, the data undergoes multiple rounds of precise labeling and expert review, with the labeling team consisting of 10 members with backgrounds in botany. Data preprocessing uses techniques such as image normalization and noise filtering to ensure data cleanliness and consistency. All images are organized in JPG format and stored by flower type.
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_type | string | Identifies the type or species of the flower in the image. |
| flower_color | string | Identifies the primary color of the flower in the image. |
| bloom_stage | string | Identifies the blooming stage of the flower such as bud, fully bloomed, etc. |
| leaf_condition | string | Assesses the condition of the leaves in terms of health, indicating if they are healthy or have disease spots. |
| image_brightness | float | Represents the overall brightness level of the image. |
| image_contrast | float | Indicates the overall contrast level of the image. |
| background_clarity | string | Evaluates the clarity of the background, indicating if it's clear or blurred. |
| presence_of_insects | boolean | Determines whether there is evidence of insect activity in the image. |
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 flowers are mainly included in this dataset?
- This dataset mainly includes images of Ixora flowers, used for studying and identifying them.
- What fields of research is this dataset suitable for?
- This dataset is suitable for research in the fields of agriculture, forestry, and fisheries, particularly for flower recognition and classification.
- How to use this dataset to improve the accuracy of plant identification?
- You can improve plant identification accuracy by training image recognition algorithms using the images of Ixora flowers provided in this dataset.
- What are the specific applications of this dataset?
- This dataset has specific applications in horticultural flower research, plant protection, and agricultural informatization.
- What kind of machine learning tasks can be performed using this dataset?
- This dataset can be used for machine learning tasks such as flower classification and image recognition.
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Cite this Work
@dataset{Mobiusi2026,
title={Garden Flower Ixora Image Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/721d21586465091d08ea22bde2367aea?dataset_scene_id=5},
urldate={2026-02-04},
keywords={Ixora recognition, horticultural flower image dataset, intelligent recognition in agriculture and forestry},
version={1.0}
}Using this in research? Please cite us.
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