Universe

cub Computer Vision Model

byfhgTask:
Object Detection
License:CC BY 4.0

How to use the cub 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="cub-j3poc/1")
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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": "red, green, blue, pink"
  },
  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 51 imagescub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik samplecub cubik sample

About cub 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{ cub-j3poc_dataset,
  title = { cub Dataset },
  type = { Open Source Dataset },
  author = { fhg },
  howpublished = { \url{ https://universe.roboflow.com/fhg/cub-j3poc } },
  url = { https://universe.roboflow.com/fhg/cub-j3poc },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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