Mobiusi/Garden-Plant-Tamarisk-Recognition-Image-Dataset

Garden Plant Tamarisk Recognition Image Dataset

In agricultural and garden management, accurately identifying and classifying flowers is an important and challenging task. Traditional manual recognition methods are inefficient, easily influenced by the professional capability of the identifier, and difficult to promote in large-scale applications. Existing automated solutions, though somewhat effective, are often limited by insufficient data and inaccurate annotations. The construction of this dataset aims to improve model recognition accuracy and applicability through large-scale, high-quality image data. Data collection was conducted using professional cameras under different lighting, angles, and environmental conditions to ensure data diversity and authenticity. Quality control involves multiple rounds of annotation and consistency checking, with final review by plant identification experts. The annotation team consists of 10 members with backgrounds in botany. Preprocessing of the data includes image normalization, denoising, and enhancement, organized in JPEG format and stored by species for easy retrieval and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
flower_species	string	Identifies the species of flower present in the image.
flower_color	string	The primary color of the flower in the image.
leaf_shape	string	Characteristics of the leaf shape present in the image.
bloom_stage	string	The blooming stage of the flower in the image, such as budding or full bloom.
background_scene	string	The type of background scene in which the flower is found, such as a garden or natural environment.
plant_health	string	The health status of the plant in the image, such as healthy or showing signs of disease.
weather_conditions	string	The weather conditions at the time the image was taken, such as sunny, cloudy, or rainy.

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