Universe

detection model Computer Vision Dataset

byDreamBEETask:
Object Detection
License:CC BY 4.0

How to use the detection model Detection API

Try This Model

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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="dreambee/my-first-project-a9ml0-instant-2")
Give your agent everything it needs

Or, Use Free Bee, Bb and Objects Detection API

Powered by general detection model

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, bb, objects, 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 300 imagesdetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sample showing beedetection model objects sampledetection model objects sample showing beedetection model objects sample showing bee

About detection model Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

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

@misc{ detection-model-wx7mx_dataset,
  title = { detection model Dataset },
  type = { Open Source Dataset },
  author = { DreamBEE },
  howpublished = { \url{ https://universe.roboflow.com/dreambee/detection-model-wx7mx } },
  url = { https://universe.roboflow.com/dreambee/detection-model-wx7mx },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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