horbee Computer Vision Dataset
About horbee Dataset
Here are a few use cases for this project:
-
Pest Control Applications: "horbee" can be used by pest control companies to automatically identify the presence of bees or hornets in images captured in different environments, facilitating effective pest management strategies.
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Biodiversity Tracking: Researchers and scientists use the model to monitor and track the population trends of bees and hornets in different geographical and climatic conditions.
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Agricultural Applications: Farmers and beekeepers could use "horbee" to verify the type and quantity of bees in their fields or bee colonies, helping to manage pollination or honey production.
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Educational Tools: The model could be used in educational settings to teach students about different insect species, specifically identifying bees vs. hornets in an interactive, visual manner.
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Surveillance Systems: In areas where hornets are a significant concern for public safety, "horbee" could be integrated into security systems to alert authorities whenever hornets are detected.
Use Free Bee and Hornet 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": "bee, hornet"
},
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{ horbee_dataset,
title = { horbee Dataset },
type = { Open Source Dataset },
author = { SeungWon Lee },
howpublished = { \url{ https://universe.roboflow.com/seungwon-lee-5nsuq/horbee } },
url = { https://universe.roboflow.com/seungwon-lee-5nsuq/horbee },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2026-07-29 },
}