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Home/Recognition/Garden Flowers Chrysanthemum Identification Image Dataset

Garden Flowers Chrysanthemum Identification Image Dataset

#Image Classification #Species Recognition #Computer Vision #Horticultural Management #Plant Research #Smart Agriculture

Records: 500 records
Size: 1.6G
Format: JPG
Provider: MOBIUSI INC
Updated: v1.02026-11-05

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.

Overview

Dataset Insights

Preview

Sample Examples

8c623a79**.jpg|1280*1706|512.74 KB

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Schema

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.

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 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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Cite this Work

@dataset{Mobiusi2026,
  title={Garden Flowers Chrysanthemum Identification Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/8feddcf1ea07d8aab8ec66135af6996f?dataset_task_cate_id=7},
  urldate={2026-02-04},
  keywords={Chrysanthemum Identification, Image Classification Dataset, Horticultural Image Recognition},
  version={1.0}
}

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