FloorSeg Computer Vision Model

byFloorSegTask:
Instance Segmentation
License:MIT562 views19 downloads

How to use the FloorSeg 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="floorseg-a5vz6/1")
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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": "Floor_annotate - v2 2023-12-15 10:34am"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

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Detecting classes:
Or try a test image 

About FloorSeg Model

Dataset from @misc{ floor_annotate_dataset, title = { Floor_annotate Dataset }, type = { Open Source Dataset }, author = { data }, howpublished = { \url{ https://universe.roboflow.com/data-i4il7/floor_annotate } }, url = { https://universe.roboflow.com/data-i4il7/floor_annotate }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { dec }, note = { visited on 2023-12-31 }, }

Cite This Project

LicenseMIT

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

@misc{ floorseg-a5vz6_dataset,
  title = { FloorSeg Dataset },
  type = { Open Source Dataset },
  author = { FloorSeg },
  howpublished = { \url{ https://universe.roboflow.com/floorseg/floorseg-a5vz6 } },
  url = { https://universe.roboflow.com/floorseg/floorseg-a5vz6 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { dec },
  note = { visited on 2026-07-29 },
}

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