Mobiusi/Garden-Flower-Digitalis-Recognition-Image-Dataset
Garden Flower Digitalis Recognition Image Dataset In modern horticultural management, accurate identification and monitoring of garden plant species is crucial. However, existing techniques often face issues such as insufficient image resolution and the time-consuming and inaccurate nature of manual recognition. This dataset aims to improve the accuracy and efficiency of automated recognition by providing high-quality images of Digitalis. The images in the dataset were collected… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Garden-Flower-Digitalis-Recognition-Image-Dataset.
Garden Flower Digitalis Recognition Image Dataset
In modern horticultural management, accurate identification and monitoring of garden plant species is crucial. However, existing techniques often face issues such as insufficient image resolution and the time-consuming and inaccurate nature of manual recognition. This dataset aims to improve the accuracy and efficiency of automated recognition by providing high-quality images of Digitalis. The images in the dataset were collected from various horticultural locations using high-resolution cameras under natural light and from multiple angles. The quality control process includes multiple rounds of manual annotation and expert consistency review. The annotation team is composed of professionals in botany and horticulture, ensuring accuracy and professionalism in the annotations. Data preprocessing methods including standardization and augmentation have been applied to enhance model training effectiveness. All images are stored in an orderly hierarchical structure, facilitating quick retrieval and classification.
Technical Specifications
Compliance Statement
<table> <tr> <td>Authorization Type</td> <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td> </tr> <tr> <td>Commercial Use</td> <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td> </tr> <tr> <td>Privacy and Anonymization</td> <td>No PII, no real company names, simulated scenarios follow industry standards</td> </tr> <tr> <td>Compliance System</td> <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td> </tr> </table>
Source & Contact
If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com
