Universe

grading with yolo and VT Computer Vision Model

bygrading metalsTask:
Object Detection
License:CC BY 4.0

How to use the grading with yolo and VT 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="grading-with-yolo-and-vt/2")
Give your agent everything it needs

Or, Use Free D, Magnet and Metals 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": "d, magnet, metals, n"
  },
  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 298 imagesgrading with yolo and VT metals samplegrading with yolo and VT metals sample showing magnet, metalsgrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals samplegrading with yolo and VT metals sample showing magnet, metalsgrading with yolo and VT metals sample showing magnet, metalsgrading with yolo and VT metals sample showing magnet, metals

About grading with yolo and VT 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{ grading-with-yolo-and-vt_dataset,
  title = { grading with yolo and VT Dataset },
  type = { Open Source Dataset },
  author = { grading metals },
  howpublished = { \url{ https://universe.roboflow.com/grading-metals/grading-with-yolo-and-vt } },
  url = { https://universe.roboflow.com/grading-metals/grading-with-yolo-and-vt },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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