Universe

house Computer Vision Model

byhashwideTask:
Object Detection
License:CC BY 4.0286 views10 downloads

How to use the house 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="house-w4vrv/1")
Give your agent everything it needs

Or, Use Free Bathtub, Showe_room and Shower_room 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": "bathtub, showe_room, shower_room, tub_shower"
  },
  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 imageshouse bathroom sample showing bathtubhouse bathroom samplehouse bathroom samplehouse bathroom samplehouse bathroom samplehouse bathroom samplehouse bathroom samplehouse bathroom sample showing shower_roomhouse bathroom sample showing bathtubhouse bathroom sample showing shower_roomhouse bathroom sample showing bathtub, shower_roomhouse bathroom sample showing bathtub

About house Model

Here are a few use cases for this project:

  1. Real Estate Listing Management: This model could be utilized by real estate companies, agents, or property management systems to automatically classify and tag the types of bathrooms in their listings, making it easier for potential renters or buyers to search and find properties according to their specific preferences.

  2. Interior Design Optimization: Interior designers could use this model to analyze the bathroom features in the spaces they're working on. The model can provide insights and help professionals determine optimal design strategies based on existing bathroom classifications.

  3. Virtual Reality Home Tours: Companies offering virtual reality tours of homes can use this model to automatically generate explicit tags or pointers to different bathroom types in a house, improving users experience by providing more detailed and interactive information.

  4. Renovation Planning: For homeowners planning renovations, this model can help recognize and assess current bathroom features, then suggest feasible upgrades or changes based on the class of the bathroom.

  5. Assistive Technology: For persons with physical disabilities or the elderly, this model could be incorporated in an application that helps them navigate through unfamiliar spaces, specifically identifying bathroom types to assess usability and accessibility.

Cite This Project

LicenseCC BY 4.0

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

@misc{ house-w4vrv_dataset,
  title = { house Dataset },
  type = { Open Source Dataset },
  author = { hashwide },
  howpublished = { \url{ https://universe.roboflow.com/hashwide-9wmoa/house-w4vrv } },
  url = { https://universe.roboflow.com/hashwide-9wmoa/house-w4vrv },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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