Flowers_Classification Computer Vision Dataset
About Flowers_Classification Dataset
Overview
The Flowers dataset is a classification detection dataset various flower species like dandelions and daisies.
Example Image: 
Use Cases
Build a flower classifier model! Consider deploying that to a mobile app for outdoor enthusiasts or florist hobbyists.
Using this Dataset
Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings (perhaps resized for your model's desired format or converted to grayscale), or additional augmentations to make your model generalize better. This particular dataset would be very well suited for Roboflow's new advanced Bounding Box Only Augmentations.
About Roboflow
Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
Developers reduce 50% of their code when using Roboflow's workflow, automate annotation quality assurance, save training time, and increase model reproducibility.
Use Free Daisy, Dandelion and Unlabeled Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "daisy, dandelion, Unlabeled"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ flowers_classification-gs7sf_dataset,
title = { Flowers_Classification Dataset },
type = { Open Source Dataset },
author = { Alexander Mamaev },
howpublished = { \url{ https://universe.roboflow.com/ail-2zcyd/flowers_classification-gs7sf } },
url = { https://universe.roboflow.com/ail-2zcyd/flowers_classification-gs7sf },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jul },
note = { visited on 2026-07-29 },
}