Universe

en-suite Computer Vision Dataset

byhashwideTask:
Object Detection
License:CC BY 4.052 views3 downloads
See all 1.2k imagesen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroomen-suite Attached-bathroom sample showing Attached-bathroom

About en-suite Dataset

Here are a few use cases for this project:

  1. Real Estate Industry: The "En-suite" model can be used in real estate portals and websites to automatically classify property images. It can help in sorting and tagging photographs to highlight properties that come with attached bathrooms.

  2. Interior Design: The model can be used by interior designers or remodeling firms to categorize their designs or projects based on the type of bathrooms. It can also help them in identifying trends and preferences in bathroom designs.

  3. Virtual Tours: The "En-suite" model can be integrated into a virtual tour application to identify attached bathrooms in real time. This will enhance the depth and detail of virtual tours for prospective home buyers or renters.

  4. Maintenance and Renovation: Companies specializing in home renovation and maintenance can use "En-suite" to identify if there's an attached bathroom in a given image, helping them to plan out tasks and resource allocation more accurately.

  5. Smart Home Applications: The model could be used for advanced smart home applications. For example, automatically assessing the utilization of different parts of a house, such as the frequency of bathroom usage, to optimize energy management.

Use Free Attached-bathroom 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": "Attached-bathroom"
  },
  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 

Cite This Project

LicenseCC BY 4.0

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

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

Similar Projects

See More