Floral Species Classification Dataset
#image classification #species recognition #plant identification #agricultural monitoring #ecological research
- 20000 records
- 4.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-10
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
01baaaef**.jpg|3024*4032|2.55 MB
436f746d**.jpg|4640*6960|4.89 MB
6f08bb13**.jpg|2983*1676|584.18 KB
1cbab9eb**.jpg|3293*4939|2.99 MB
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 | 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 |
Frequently Asked Questions
- How many flower species are included in this dataset?
- The Flower Species Classification Dataset includes several common flower species, and the exact number can be found in the dataset details.
- What type of agricultural applications is this dataset suitable for?
- This dataset is suitable for agricultural applications such as plant identification, smart farming management, and automated flower classification.
- How was this dataset collected?
- The flower image dataset is typically collected by taking high-quality pictures of various flowers and categorizing them.
- How does this dataset help in plant identification?
- With numerous images of various flowers, this dataset can help improve the accuracy and efficiency of plant identification.
- Does the image need preprocessing before using this dataset?
- Preprocessing steps like resizing and normalization are usually required before using the images to enhance model training effectiveness.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Floral Species Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/7e10b80cbd3540da06fa751a8d20b294},
urldate={2025-09-15},
keywords={floral classification dataset, plant identification data, agricultural image classification},
version={1.0}
}Using this in research? Please cite us.
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