Mobiusi/Garden-Flower-Rosa-Banksiae-Identification-Image-Dataset

Garden Flower Rosa Banksiae Identification Image Dataset

Currently, in horticulture and agriculture forestry industries, the identification and management of flowers face problems of inaccurate identification and low identification efficiency. Traditional manual identification methods often fail to meet the demands of large-scale identification due to lack of experience and high labor costs. This dataset provides a foundation for improving the accuracy of automatic plant identification systems by offering highly accurate Rosa Banksiae flower images. Data collection is conducted by professional photographers using high-resolution cameras under natural light to ensure comprehensive coverage of various angles and growth stages. In terms of quality control, a multi-round annotation mechanism is adopted and reviewed by botanical experts to ensure annotation accuracy and consistency. The annotation team consists of 30 plant science professionals, and data preprocessing includes image enhancement, noise reduction, and other techniques to improve the model training effect. Data is stored in JPG format and organized by flower types and growth stages. The dataset has the following core advantages: annotation accuracy reaches 99%, consistency is 98%, and completeness covers 90% of known species. By introducing an automated annotation algorithm, data processing efficiency is improved by 50% compared to traditional methods. In agricultural planting optimization, using this dataset increases identification accuracy by 30%. Compared to similar datasets, our images offer richer details, particularly with significant advantages in light and angle control. The dataset covers rare Rosa Banksiae varieties, providing rare learning opportunities and strong scalability, suitable for different plant identification tasks.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
flower_species	string	The specific species of the flower identified, such as Rosa banksiae, Rosa, etc.
flower_color	string	The main color of the flower, such as red, yellow, etc.
bloom_stage	string	The blooming stage of the flower, such as bud, full bloom, withering.
leaf_presence	boolean	A marker indicating whether leaves are present in the image.
plant_health	string	The health status of the plant, such as healthy, diseased, or pest-infested.
flower_count	integer	The total count of flowers present in the image.
image_quality	string	The clarity and noise level of the image, such as high, medium, low quality.
background_clutter	string	The complexity level of the image background, such as simple, complex.
sun_exposure	string	The sun exposure level of the flower in the image, such as shaded, full sun.
image_focus	string	The focus status of the image, such as focused, out of focus.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com