Universe

seg2 Computer Vision Model

byadminTask:
Instance Segmentation
License:Public Domain

How to use the seg2 Segmentation API

Try This Model

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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="seg2-gauzv/6")
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Or, Use Free Data, DedicatedGFCI and Duplex 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": "Data, DedicatedGFCI, Duplex, FloorPlug, FurnitureFeed"
  },
  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 376 imagesseg2 wall sample showing Data, Duplexseg2 wall sample showing Data, DedicatedGFCI, Duplexseg2 wall sample showing Data, DedicatedGFCI, Duplex, Quad, TVseg2 wall sample showing Data, Duplex, Quadseg2 wall sample showing Data, DedicatedGFCI, Duplex, Quad, TVseg2 wall sample showing Data, Duplex, FloorPlug, Quadseg2 wall sample showing Data, DedicatedGFCI, Duplex, Quad, TVseg2 wall sample showing Data, Duplex, Quadseg2 wall sample showing Data, Duplex, Quadseg2 wall sampleseg2 wall sample showing DedicatedGFCI, Duplex, Quadseg2 wall sample showing Data, Duplex

About seg2 Model

A description for this project has not been published yet.

Cite This Project

LicensePublic Domain

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

@misc{ seg2-gauzv_dataset,
  title = { seg2 Dataset },
  type = { Open Source Dataset },
  author = { admin },
  howpublished = { \url{ https://universe.roboflow.com/admin-dmnn5/seg2-gauzv } },
  url = { https://universe.roboflow.com/admin-dmnn5/seg2-gauzv },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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