Garden Flower Water Lily Identification Image Dataset
#image classification #plant identification #deep learning #computer vision #plant identification #garden management #plant classification #image processing #agroforestry research
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In garden management and agroforestry research, plant identification is a key task. Currently, image processing techniques based on high-definition images still have room for improvement in recognition accuracy, especially for morphologically diverse water lily flowers. Most existing solutions perform inadequately in cross-species feature recognition and adaptability, unable to effectively cope with complex natural landscapes and lighting variations. This dataset is constructed to improve the accuracy and adaptability of water lily image recognition, thereby meeting the needs of automated garden management and precise plant research. Data collection is conducted using professional-grade digital cameras under various natural light conditions, covering multiple water lily varieties. Images undergo multiple rounds of expert review and consistency checks to ensure high annotation accuracy and consistency. A botanical expert team with more than 20 members is responsible for the annotation. Data preprocessing employs image enhancement techniques and noise filtering, with all data classified and stored in JPEG format for quick access and use.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_type | string | The specific type or variety of the lotus flower identified. |
| color | string | The color of the lotus flower identified, including primary and potential secondary hues. |
| bloom_stage | string | The current blooming stage of the lotus, such as bud, partial bloom, or full bloom. |
| leaf_condition | string | The condition of the lotus leaves, such as healthy, yellowing, or exhibiting disease spots. |
| environment | string | The growth environment features of the lotus as shown in the image, such as pond or pot. |
| petal_count | integer | The number of petals in the lotus flower. |
| size | string | The size of the flower estimated from the image, categorized as small, medium, or large. |
| light_condition | string | The lighting conditions depicted in the image, such as full sun, shade, or partial sunlight. |
| background_clutter | string | The level of clutter in the lotus background, classified as tidy or cluttered. |
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 are the application scenarios for the Garden Flower Water Lily Identification Image Dataset?
- This dataset is suitable for multiple application scenarios such as plant classification, water lily variety identification, and agricultural research.
- How does this dataset help improve the accuracy of plant classification?
- By providing a large number of high-quality water lily images, the dataset helps train more accurate plant classification models, enhancing the precision of identification and classification.
- What types of water lilies are included in the Garden Flower Water Lily Identification Image Dataset?
- The dataset includes various common types of water lilies, with detailed image annotations and classification information.
- What challenges might be encountered when using this dataset for plant identification?
- Challenges in plant identification may include similar appearances of varieties, as well as variations in shooting angles and lighting affecting the recognition results.
- How does this dataset play a role in agricultural research?
- By providing a large amount of plant image data, this dataset can be used to analyze and study the growth patterns and health conditions of water lilies, supporting the development of precision agriculture technologies.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flower Water Lily Identification Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/b6f40296270c6a2fbe0f9e136845abc3},
urldate={2026-02-04},
keywords={garden flower identification, water lily image dataset, agricultural and forestry dataset, plant classification dataset, image recognition},
version={1.0}
}Using this in research? Please cite us.
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