Floral Landscape Recognition Dataset
#Target detection #Image classification #Agricultural monitoring #Ecological protection #Automated planting
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The current agricultural sector is facing challenges such as the reduction of biodiversity and deterioration of the ecological environment. Flowers, as an essential component of ecosystems, are crucial for maintaining ecological balance. However, existing flower recognition technologies rely on expert experience, which is inefficient and prone to errors. Therefore, we have constructed this dataset to provide high-quality flower images and annotations, supporting the training of machine learning models and improving the automation of flower recognition. The dataset is collected by a professional team in natural environments, using high-resolution cameras to ensure image quality. Multiple rounds of annotation and consistency checks are employed to ensure data accuracy. The data is stored in JPEG format, organized by folders, with each folder corresponding to a flower species for easy subsequent use.
Dataset Insights
Sample Examples
02c23768**.jpg|3024*4032|2.55 MB
7b302f84**.jpg|4640*6960|4.89 MB
925c7478**.jpg|4184*6276|6.24 MB
ecb655d3**.jpg|3293*4939|2.99 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| flower_type | string | The category of flower identified. |
| flower_color | string | The primary color of the flower in the image. |
| blossom_state | string | The bloom state of the flower, such as full bloom or budding. |
| background_complexity | string | The level of complexity of the background in the image, such as simple or complex. |
| lighting_condition | string | The lighting conditions at the time of image capture, such as bright or dim. |
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 |
Frequently Asked Questions
- What is the main purpose of the Flower Landscape Recognition Dataset?
- The dataset is mainly used to promote agricultural intelligence, especially in the field of flower recognition technology.
- What type of files does this dataset contain?
- The Flower Landscape Recognition Dataset contains image files for flower object detection.
- Why is flower landscape recognition important in agriculture?
- Flower landscape recognition helps improve agricultural production efficiency and intelligent management levels, reducing reliance on human labor.
- How does the Flower Landscape Recognition Dataset aid in technological advancement?
- This dataset can be used to train and test machine learning models to improve the accuracy and efficiency of flower recognition.
- What are the applications of the dataset in the agriculture industry?
- In addition to flower recognition, the dataset can also be used for plant health monitoring, yield prediction, and automated farm management.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Floral Landscape Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/9ceb79fbbbb5a9b83c5d0be0ced983e7?dataset_scene_id=5},
urldate={2025-09-15},
keywords={Flower recognition, Target detection dataset, Agricultural dataset, Ecological monitoring},
version={1.0}
}Using this in research? Please cite us.
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