Universe

Bees Computer Vision Model

byUMNGTask:
Object Detection
License:Public Domain126 views7 downloads

How to use the Bees Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="bees-nc14v/4")
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Code
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, bees, Bees, queen"
  },
  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

Detecting classes:
Or try a test image 
See all 341 imagesBees Bees sample showing BeesBees Bees sample showing BeesBees Bees sample showing BeesBees Bees sample showing BeesBees Bees sample showing beesBees Bees sample showing beesBees Bees sample showing beesBees Bees sample showing BeesBees Bees sample showing beesBees Bees sample showing beesBees Bees sample showing beesBees Bees sample showing Bees

About Bees Model

Here are a few use cases for this project:

  1. Bee Conservation Research: The "Bees" model can be used by conservationists and researchers to monitor the varieties and numbers of bees in certain regions. It could help track bee population trends and evaluate the impact of environmental changes on different bee classes.

  2. Farming and Agriculture Applications: Farmers and gardeners could use this model to monitor bee activity surrounding their crops or flowers. Bees play a crucial role in pollination, thus having an impact on crop yield and plant health.

  3. Bee Behavior Study: Entomologists could use the model to study the behavior of different classes of bees, to help in the understanding of their role in nature, their interaction with the environment, and possibly foresee threats to their survival.

  4. Drone Development: Robotics and drone developers could study the flight patterns and behavior of various classes of bees, using the model for insight and inspiration in developing more efficient and intelligent drone technology.

  5. Public Health and Safety: Local authorities could use this model to monitor bee populations within public spaces. Effective identification could help control the presence of potentially harmful bee classes in heavily populated areas, thus enhancing public safety.

Cite This Project

LicensePublic Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ bees-nc14v_dataset,
  title = { Bees Dataset },
  type = { Open Source Dataset },
  author = { UMNG },
  howpublished = { \url{ https://universe.roboflow.com/umng/bees-nc14v } },
  url = { https://universe.roboflow.com/umng/bees-nc14v },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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