Universe

WCB5G Computer Vision Model

byIPSATask:
Object Detection
License:MIT413 views21 downloads

How to use the WCB5G 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="wcb5g/13")
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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": "plastic, 0, 1, aluminium, avoid"
  },
  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 877 imagesWCB5G plastic-avoid sampleWCB5G plastic-avoid sampleWCB5G plastic-avoid sample showing 0, 1WCB5G plastic-avoid sampleWCB5G plastic-avoid sample showing 1WCB5G plastic-avoid sample showing collectWCB5G plastic-avoid sample showing collectWCB5G plastic-avoid sample showing 1WCB5G plastic-avoid sample showing avoid, collectWCB5G plastic-avoid sample showing 0, 1WCB5G plastic-avoid sample showing 0, 1WCB5G plastic-avoid sample showing avoid, collect

About WCB5G Model

WaterCleanBot

Overview

This project is related to the Water Clean Bot project pushed by Capgemini Engineering. The dataset found in this project was built with proprietary pictures as well as pictures found on RoboFlow's universe.

Cite This Project

LicenseMIT

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

@misc{ wcb5g_dataset,
  title = { WCB5G Dataset },
  type = { Open Source Dataset },
  author = { IPSA },
  howpublished = { \url{ https://universe.roboflow.com/ipsa-4wlge/wcb5g } },
  url = { https://universe.roboflow.com/ipsa-4wlge/wcb5g },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { jan },
  note = { visited on 2026-07-29 },
}

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