Universe

废钢 Computer Vision Model

bySTEEL COILTask:
Object Detection
License:CC BY 4.0

How to use the 废钢 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="-ywrjc/18")
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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": "0, 1, 10, 11, 12"
  },
  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 17k images废钢 type sample showing 3废钢 type sample showing 9废钢 type sample showing 8废钢 type sample showing 8废钢 type sample废钢 type sample showing 6废钢 type sample showing 10废钢 type sample showing 8废钢 type sample废钢 type sample showing 7废钢 type sample废钢 type sample showing 4

About 废钢 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{ -ywrjc_dataset,
  title = { 废钢 Dataset },
  type = { Open Source Dataset },
  author = { STEEL COIL },
  howpublished = { \url{ https://universe.roboflow.com/steel-coil/-ywrjc } },
  url = { https://universe.roboflow.com/steel-coil/-ywrjc },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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