Datasets:
tags:
- image classification
- species recognition
- plant identification
- agricultural monitoring
- ecological research
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Floral Species Classification Dataset
size_categories:
- 10M<n<100M
Floral Species Classification Dataset
The current agricultural sector faces challenges in plant disease control and biodiversity conservation. Traditional manual identification methods are inefficient and inaccurate. Existing species identification systems often rely on expert experience, lacking large-scale, high-quality data support, making it difficult to meet real-time monitoring needs. This dataset aims to address data scarcity in automated identification by providing a large number of accurately annotated flower images. The dataset structure includes fields such as image ID, species name, image link, collection location, and collection date. Data collection was carried out using high-resolution cameras in different ecological environments, ensuring the diversity and representativeness of the images. We conducted multiple rounds of annotation and expert review to ensure high annotation accuracy. All images are stored in JPG format and organized by species.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species_name | string | The name of the flower species, used for species identification. |
| color | string | The main color feature of the flower, there can be multiple colors. |
| leaf_presence | boolean | Whether leaves are present in the image. |
| bloom_stage | string | The blooming stage of the flower, such as bud, full bloom, or wilting. |
| background_type | string | The type of background in the image, such as natural or artificial. |
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