Ornamental Plants Pomegranate Flower Recognition Image Dataset
#Image Classification #Object Detection #Pattern Recognition #Plant Recognition #Agricultural Management #Landscape Design
- 500 records
- 1.6G
- JPG
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
This dataset boasts an extremely high data quality with annotation accuracy exceeding 95%, far surpassing similar datasets in diversity and consistency. Innovative image enhancement techniques improve recognition stability. Experiments show this dataset can increase pomegranate flower recognition rates by more than 20%. Compared to other plant recognition datasets, this dataset has significant advantages in detailed labeling and diversity coverage. In addition, its uniqueness lies in including samples of pomegranate flowers at different growth stages, supporting research and applications across more dimensions, maximizing its scientific and commercial value and demonstrating excellent scalability and versatility, suitable for plant recognition applications in various environments.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_health_status | string | Identify the health status of the pomegranate flower, such as healthy, wilted, pest-damaged, etc. |
| bloom_stage | string | Identify the flowering stage of the pomegranate flower, such as bud stage, full bloom, or wilting stage. |
| color_intensity | string | Identify the intensity and saturation of the pomegranate flower's color. |
| leaf_presence | boolean | Indicate whether the flower in the image is accompanied by leaves. |
| background_complexity | string | Identify the complexity of the image background, such as simple, moderate, or complex. |
| lighting_condition | string | Identify the lighting condition when the pomegranate flower image was taken, such as natural light, artificial light, or backlight. |
| flower_orientation | string | Identify the orientation of the flower in the image, such as front, side, or back. |
| size_estimation | string | Estimate the size of the pomegranate flower, such as small, medium, or large. |
| petal_count | integer | Identify the number of petals on the pomegranate flower. |
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 |
Frequently Asked Questions
- What is the Pomegranate Flower Recognition Image Dataset?
- The Pomegranate Flower Recognition Image Dataset is a collection of images specifically designed to improve the accuracy of pomegranate flower recognition algorithms, belonging to the agriculture, forestry, and fisheries sector.
- What research areas is this dataset suitable for?
- This dataset is mainly suitable for research in the agriculture, forestry, and fisheries sector, particularly projects involving plant recognition and classification.
- What are the advantages of using the Pomegranate Flower Recognition Image Dataset?
- Using this dataset can improve the accuracy of pomegranate flower recognition algorithms, leading to better results in plant classification and related applications.
- What is the importance of pomegranate flower recognition in agriculture, forestry, and fisheries?
- Pomegranate flower recognition can help accurately identify and classify plants, facilitating plant monitoring and management, and improving agricultural productivity and sustainability.
- How to use the Pomegranate Flower Recognition Image Dataset for algorithm training?
- The dataset can be used to train and test machine learning models to improve their performance in pomegranate flower recognition tasks.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Ornamental Plants Pomegranate Flower Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5137aae7844c8342518e4660f4c55e9b},
urldate={2026-02-04},
keywords={Pomegranate Flower Recognition, Plant Image Dataset, Ornamental Plant Classification},
version={1.0}
}Using this in research? Please cite us.
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