Welding Joint Detection Computer Vision Model

byVenkatChand09Task:
Object Detection
License:CC BY 4.0235 views1 download

How to use the Welding Joint Detection Detection API

Try This Model

Drop an image here or click to upload

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="welding-joint-detection-qtria/1")
Give your agent everything it needs

Or, Use Free Buttjoint and Tjoint Detection API

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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": "Buttjoint, tjoint"
  },
  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 

About Welding Joint Detection Model

This project helps in identifying the correct weld joint type which is essential for intelligent robotic welding.Currently,it can only identify two types of joints called t-joint and butt joint.

Cite This Project

LicenseCC BY 4.0

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

@misc{ welding-joint-detection-qtria_dataset,
  title = { Welding Joint Detection Dataset },
  type = { Open Source Dataset },
  author = { VenkatChand09 },
  howpublished = { \url{ https://universe.roboflow.com/venkatchand09/welding-joint-detection-qtria } },
  url = { https://universe.roboflow.com/venkatchand09/welding-joint-detection-qtria },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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