Garden Flower Butterfly Flower (Japanese Iris) Image Recognition Dataset
#Image Classification #Image Recognition #Computer Vision #Plant Recognition #Horticultural Management #Agricultural and Forestry Research
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-11
AI Analysis & Value Prop
Currently, the demand for precise identification and management of plant species in agriculture and forestry is increasing. However, traditional manual identification is not only time-consuming and labor-intensive but also prone to errors when there are many plant species. Existing solutions mostly rely on manual annotation, which has limitations of low recognition efficiency and insufficient accuracy. This dataset is dedicated to solving image classification problems in precise plant identification, especially for the widely used Japanese iris in horticulture. Data collection is performed with high-resolution cameras under standard lighting conditions, with collection environments including multiple scenes such as greenhouses and natural conditions. Quality control includes multiple rounds of annotation and expert consensus review, with the annotation team consisting of 20 professional botanical researchers. The data is stored in JPG format after cropping, standardization, and denoising, and archived into structured directories according to plant species.
Dataset Insights
Sample Examples
191e8a1b**.jpg|1920*2560|255.89 KB
7739e8ef**.jpg|1920*2560|329.83 KB
730d8b9f**.jpg|1920*2560|447.76 KB
3527bcf2**.jpg|2560*1920|329.08 KB
1a4f60a2**.jpg|1920*2560|316.15 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| species | string | The species name of the flower in the image. |
| flower_color | string | The color of the flower in the image. |
| leaf_shape | string | The shape of the leaves of the flower in the image. |
| bloom_stage | string | The bloom stage of the flower in the image. |
| plant_height | double | The height of the plant in the image, measured in centimeters. |
| habitat | string | The natural habitat type of the flower in the image. |
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 type of computer vision tasks can this dataset be used for?
- This dataset can be used for image recognition and classification tasks, especially for recognizing butterfly flowers (Iris japonica) in agriculture and forestry.
- Which flowers are included in the images of this dataset?
- The dataset primarily includes images of garden flowers known as butterfly flowers (also called Iris japonica).
- How can this dataset improve agriculture and forestry management efficiency?
- By using this dataset to train image recognition models, it can enhance the efficiency of identifying and classifying specific flowers, thereby assisting in agriculture and forestry planting and management.
- What features can help identify Iris japonica?
- Iris japonica usually has distinctive petal shapes and colors, which make it identifiable and classifiable in images.
- How to process such image data in deep learning?
- In deep learning, convolutional neural networks (CNNs) can be used to process and recognize such image data, extracting important visual features for classification.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Garden Flower Butterfly Flower (Japanese Iris) Image Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/44335494565e85fd254cc4b4ee2264f4?dataset_task_cate_id=7},
urldate={2026-02-04},
keywords={Japanese Iris Recognition, Garden Flower Dataset, Agricultural Image Classification},
version={1.0}
}Using this in research? Please cite us.
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