Garden Flower Firecracker Flower Recognition Image Dataset
#Image Classification #Object Detection #Feature Extraction #Plant Recognition #Garden Management #Pest Detection
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
With the global demand for garden greening increasing, accurate recognition of garden flowers such as firecracker flowers has become an important task for garden management. However, traditional manual recognition methods are limited by individual experience and skills, time-consuming, and prone to errors. In addition, existing plant recognition technologies are difficult to promote due to incomplete datasets or poor annotation quality. This dataset aims to provide plant recognition systems with high-definition, accurately annotated firecracker flower images to improve recognition accuracy. Data comes from gardens and research institutes across various climate zones in the country, captured using professional cameras under natural light. The data has been annotated multiple times to ensure accuracy, reviewed by a team of botany experts. The annotation team consists of over 20 plant protection experts and graduate students, with extensive experience in plant classification. Data preprocessing includes image denoising, size standardization, and color correction, finally stored in JPG format and archived by region and shooting time.
Dataset Insights
Sample Examples
38151d38**.jpg|1920*2560|420.03 KB
250bae71**.jpg|1920*2560|938.96 KB
8c28360c**.jpg|1920*2560|442.65 KB
529243ef**.jpg|1920*2560|388.50 KB
28289d45**.jpg|1920*2560|523.25 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_species | string | The name of the identified flower species. |
| health_status | string | The health condition of the flower, such as healthy, disease, or pest infestation. |
| flower_color | string | The primary color of the flower. |
| leaf_condition | string | The condition of the leaves, such as intact, damaged, or curled. |
| bloom_stage | string | The blooming stage of the flower, such as bud, full bloom, or wilting. |
| environment_background | string | The type of background environment such as natural, garden, or indoor. |
| image_quality | string | The quality assessment of the image, such as clear, moderate, or 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 Flowers Pyrostegia Venusta Recognition Image Dataset?
- The Garden Flowers Pyrostegia Venusta Recognition Image Dataset is a collection of images specifically used for recognizing and classifying common Pyrostegia venusta, which can be used for plant classification and pest detection.
- What are the practical applications of this dataset?
- This dataset can be used for plant classification, disease and pest detection in agriculture and horticulture, and it can also enhance machine learning models' ability in plant recognition.
- Who would need to use the Pyrostegia Venusta recognition image dataset?
- Botanical researchers, agricultural technicians, horticulturists, and computer vision researchers might need to use this dataset for relevant research and application development.
- How to choose a dataset suitable for your project?
- When choosing a dataset, consider its relevance to the project goals, data quality and availability, and whether the dataset covers various growing environments and conditions of the target plant.
- How does this dataset support plant pest and disease detection?
- The high-quality images in the dataset can be used to train machine learning models, thereby improving their accuracy in detecting and recognizing plant pests and diseases.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flower Firecracker Flower Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/def3d5ecbc8280d0281fe9d1817352ea},
urldate={2026-02-04},
keywords={Firecracker Flower Recognition, Garden Flower Dataset, Plant Classification Images},
version={1.0}
}Using this in research? Please cite us.
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