Garden Flowers Chrysanthemum Identification Image Dataset
#Image Classification #Species Recognition #Computer Vision #Horticultural Management #Plant Research #Smart Agriculture
- 500 records
- 1.6G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Currently, the horticulture industry is actively utilizing technological means to enhance plant management and ornamental value. However, existing plant identification solutions often face challenges due to insufficient diversity and inaccurate annotation of image data. Against this background, the Garden Flowers Chrysanthemum Identification Image Dataset comes into being, aiming to address species accuracy and data diversity issues in image recognition, and meet the needs of intelligent planting and ornamental industries. This dataset is collected by capturing multi-angle images of Chrysanthemum under standard lighting using high-definition cameras to ensure data diversity. The data underwent multiple rounds of expert labeling and strict consistency checks, with the labeling team consisting of 20 professionals from the field of botany. Preprocessing steps include image denoising, multi-scale enhancement, and contrast adjustment, and are finally stored in JPG format, organized by scene and shooting angle.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species | string | The specific species or variety of Chrysanthemum. |
| bloom_stage | string | The stage of bloom for the flower, such as early bloom, full bloom, or wilting. |
| color | string | The primary color of the flower. |
| petal_count | int | The number of petals present on the flower. |
| leaf_presence | boolean | Whether leaves are present in the image. |
| plant_health | string | The assessment of the plant's health condition, such as healthy, diseased, or wilting. |
| background_complexity | string | The complexity of the background, such as simple or complex. |
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 can the Garden Chrysanthemum Image Recognition Dataset be used for?
- This dataset is mainly used to improve the accuracy of plant classification, specifically for identifying and classifying garden chrysanthemums.
- Which industry does this dataset belong to?
- This dataset belongs to the agriculture, forestry, and fishing industry, particularly related to the identification of horticultural plants.
- What kind of models can the images in the dataset be used to train?
- The images in the dataset can be used to train machine learning models for image classification and recognition, such as convolutional neural networks (CNNs).
- What are the benefits of using this dataset?
- Using this dataset helps improve the performance and accuracy of plant identification algorithms, especially in recognizing chrysanthemums.
- What is the main motivation behind the Chrysanthemum Image Recognition Dataset?
- The main motivation behind this dataset is to support and enhance automated plant recognition systems and to promote research and applications in horticulture.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flowers Chrysanthemum Identification Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/8feddcf1ea07d8aab8ec66135af6996f},
urldate={2026-02-04},
keywords={Chrysanthemum Identification, Image Classification Dataset, Horticultural Image Recognition},
version={1.0}
}Using this in research? Please cite us.
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