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Home/Nature, Aerial & Aquatic/Horticultural Flower Salvia Splendens Recognition Image Dataset

Horticultural Flower Salvia Splendens Recognition Image Dataset

#image classification #object detection #pattern recognition #plant recognition #agricultural management #horticultural design #ecological monitoring

Records: 500 records
Size: 1.3G
Format: JPG
Provider: MOBIUSI INC
Updated: v1.02026-11-05

AI Analysis & Value Prop

Currently, horticulture and agricultural management are facing challenges of diverse plant species and difficulty in recognition. Traditional manual recognition methods are time-consuming, labor-intensive, and prone to errors, while existing datasets often lack high-resolution images of certain specific flowers, leading to potential improvement in model recognition accuracy. The purpose of this dataset is to provide high-quality images of Salvia Splendens, addressing challenges in model recognition for this plant. Data collection uses a high-resolution camera in natural light environments, including images under different seasons, times, and weather conditions. Quality control is performed through multiple rounds of annotation and rigorous reviews by an experienced team of horticulturists to ensure data accuracy and consistency. The annotation team comprises 10 botany experts uniformly trained to ensure annotation consistency. Preprocessing includes color correction, size standardization, and background removal, with final storage in JPG format, organized and archived by time and location.

Overview

Dataset Insights

Preview

Sample Examples

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Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
flower_color	string	The color of the flowers of Salvia farinacea (Mealycup Sage).
leaf_shape	string	The shape of the leaves of the plant.
plant_height	float	The overall height of the plant measured in meters.
bloom_period	string	The period during which the Mealycup Sage blooms.
soil_type	string	The type of soil suitable for the growth of Mealycup Sage.
sun_exposure	string	The light conditions required for the Salvia farinacea.
plant_health	string	The health condition of the plant at the time of capture.

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 is the purpose of the Salvia Recognition Image Dataset?: The Salvia Recognition Image Dataset is used to improve the accuracy of plant recognition, especially in gardening and flowers applications.

What data modalities does the Salvia Recognition Image Dataset include?: This dataset includes image data modalities, focusing on the collection of visual information.

Which industry is this dataset primarily used in?: The Salvia Recognition Image Dataset is primarily used in the agriculture, forestry, and fisheries industry.

What are the benefits of using the Salvia Recognition Image Dataset?: Using this dataset can effectively improve plant recognition accuracy in gardening flowers, assisting practitioners in more accurately identifying and managing plants.

How can the Salvia Recognition Image Dataset be used for plant recognition research?: Researchers can apply machine learning techniques using this dataset to train models to recognize different types of plants, especially Salvia in gardening.

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Cite this Work

@dataset{Mobiusi2026,
  title={Horticultural Flower Salvia Splendens Recognition Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/47f16afe7943a00efd1524d76768e3ad?dataset_scene_cate_type=8},
  urldate={2026-02-04},
  keywords={horticultural flower recognition, Salvia Splendens images, agricultural dataset, plant recognition},
  version={1.0}
}

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