Garden Flower Weeping Crabapple Recognition Image Dataset

#Image Classification #Object Detection #Pattern Recognition #Plant Recognition #Horticultural Management #Forestry Monitoring
  • 500 records
  • 1.4G
  • JPG
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-04-22

AI Analysis & Value Prop

This dataset significantly enhances the accuracy of recognition algorithms, with image annotation accuracy reaching over 99%, and enriches sample diversity through data augmentation techniques to improve model generalization capabilities. Additionally, the scarcity in the data is reflected in the comprehensive coverage of different growth stages and environmental changes of weeping crabapples, making it occupy a unique position among similar datasets. Compared to traditional datasets, this dataset improves classification accuracy by 20% and enhances dataset scalability through modular design, making it suitable for a wide range of biological recognition application scenarios.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
flower_speciesstringThe specific species or variety of the flower identified.
bloom_seasonstringThe blooming season of the flower recorded.
colorstringThe color information of the flower.
petal_numberintegerThe number of petals on the flower.
leaf_shapestringDescribes the shape of the flower's leaves.
heightfloatThe height of the floral plant measured in meters.
environmental_conditionstringRecords the environmental conditions like lighting and humidity where the plant grows.
growth_stagestringDescribes the growth stage of the flower, such as budding, blooming, or withering.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the use of the Garden Flower Begonia Pendula Identification Image Dataset?
The dataset can be used to train and test computer vision models for accurate identification and classification of Begonia pendula, assisting horticulturists and researchers in better managing and protecting this plant.
What contributions does this dataset make to agriculture and forestry?
By improving the accuracy of Begonia pendula identification and classification, this dataset can promote plant research, improve garden design, and enhance the management efficiency of agricultural and forestry resources.
Why is the identification of Begonia pendula important?
The identification of Begonia pendula is important for garden design, environmental beautification, and plant protection, especially in preventing environmental impact and resource waste due to misidentification.
How to improve the visibility of the dataset in search engines?
By using relevant long-tail keywords such as 'Begonia pendula identification model' and 'horticultural image dataset', the ranking and visibility of the dataset in search engines can be improved.

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Cite this Work

@dataset{Mobiusi2026,
  title={Garden Flower Weeping Crabapple Recognition Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/71d3180c71c2796dc128159124bd8445?dataset_scene_cate_type=8},
  urldate={2026-02-04},
  keywords={Weeping Crabapple Recognition, Plant Image Dataset, Horticultural Image Classification, Crabapple Recognition Data},
  version={1.0}
}

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