window_door_openspace Computer Vision Dataset

bymaskrcnnTask:
Object Detection
License:CC BY 4.0510 views34 downloads

About window_door_openspace Dataset

Here are a few use cases for this project:

  1. Smart Home Security System: The "window_door_openspace" model can be integrated into a smart home security system to notify homeowners about open windows, doors, or any open-space vulnerabilities, enhancing safety and energy efficiency.

  2. Architectural Design Analysis: The model can be used by architects and designers to analyze and improve building designs by identifying and visualizing the presence and distribution of doors, windows, and open spaces, optimizing natural lighting and air circulation.

  3. Construction Site Monitoring: The "window_door_openspace" model can help construction site managers monitor the progress of building projects by identifying completed windows, doors, and open spaces, ensuring compliance with design plans and safety regulations.

  4. Augmented Reality for Interior Design: Incorporating the model into AR applications can help interior designers and homeowners visualize different layouts, furniture placement, and window treatments in real-time, facilitating decision-making and enhancing creativity.

  5. Urban Planning and Analysis: By analyzing aerial or satellite imagery, the "window_door_openspace" model can assist urban planners and researchers in evaluating the quality and density of living spaces, potentially identifying areas in need of improvement, such as adding green spaces or optimizing pedestrian access.

Use Free Door, Window and Open-space 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": "door, window, open-space"
  },
  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{ window_door_openspace_dataset,
  title = { window_door_openspace Dataset },
  type = { Open Source Dataset },
  author = { maskrcnn },
  howpublished = { \url{ https://universe.roboflow.com/maskrcnn/window_door_openspace } },
  url = { https://universe.roboflow.com/maskrcnn/window_door_openspace },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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