Universe

room_seperation Computer Vision Model

bymaskrcnnTask:
Object Detection
License:CC BY 4.0144 views6 downloads

How to use the room_seperation 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="room_seperation/2")
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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": "rooms"
  },
  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 1.2k imagesroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing roomsroom_seperation rooms sample showing rooms

About room_seperation Model

Here are a few use cases for this project:

  1. Real Estate Applications: Room_seperation can be used in real estate websites and applications to automatically classify and tag rooms in property images, making it easier for potential buyers or renters to filter and search for homes based on their preferred room types and layouts.

  2. Interior Design and Home Renovation: The model can assist interior designers and homeowners in visualizing and planning room layouts by identifying room classes and suggesting appropriate design ideas, furniture arrangements, and partition ideas for different room types.

  3. Smart Home Automation: Room_seperation can be integrated into smart home systems to support personalized automation profiles and improve energy efficiency. By identifying room types, the system can adjust lighting, temperature, and other environmental factors based on occupancy and usage patterns.

  4. Virtual Reality and Gaming: In virtual reality and video game environments, room_seperation can be used to enhance the realism and immersion by generating accurate, interactive representations of real-world spaces based on input floor plans, allowing users to virtually explore and interact with various room types.

  5. Emergency Response and Evacuation Planning: Room_seperation can be utilized by emergency response teams to better understand and navigate building layouts, as well as develop effective evacuation plans. By quickly identifying room classes, responders can more efficiently locate and assist individuals during emergency situations.

Cite This Project

LicenseCC BY 4.0

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

@misc{ room_seperation_dataset,
  title = { room_seperation Dataset },
  type = { Open Source Dataset },
  author = { maskrcnn },
  howpublished = { \url{ https://universe.roboflow.com/maskrcnn/room_seperation } },
  url = { https://universe.roboflow.com/maskrcnn/room_seperation },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { jan },
  note = { visited on 2026-07-29 },
}

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