ObjectDetection_Kitchen Computer Vision Dataset

bywindowdoorTask:
Object Detection
License:CC BY 4.0101 views2 downloads

About ObjectDetection_Kitchen Dataset

Here are a few use cases for this project:

  1. Home Renovation Assistance: "ObjectDetection_Kitchen" can be used by homeowners and interior designers to identify the kitchen and its elements in a floor plan, enabling them to efficiently plan their kitchen remodeling or renovation projects.

  2. Kitchen Appliance Placement: Users can leverage "ObjectDetection_Kitchen" to automatically detect the designated kitchen area in a floor plan and suggest optimal placement of appliances and other kitchen items based on the detected layout and size of the kitchen.

  3. Kitchen Accessibility Evaluation: By identifying kitchen features, "ObjectDetection_Kitchen" can assist in evaluating the accessibility and ease of navigation for people with disabilities, enabling architects and designers to optimize kitchen layouts that cater to varying needs.

  4. Real Estate Marketing: Real estate agents can use "ObjectDetection_Kitchen" to automatically detect and generate keywords related to kitchen features, helping them create more targeted and relevant listings for potential buyers searching for homes with specific kitchen characteristics.

  5. Virtual Reality (VR) and Augmented Reality (AR) Home Tours: "ObjectDetection_Kitchen" can enable developers to create more accurate and immersive VR or AR home tours by using the model to detect kitchen features and boundaries, allowing users to interact and visualize their potential new home more realistically.

Use Free Kitchen 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": "Kitchen"
  },
  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{ objectdetection_kitchen_dataset,
  title = { ObjectDetection_Kitchen Dataset },
  type = { Open Source Dataset },
  author = { windowdoor },
  howpublished = { \url{ https://universe.roboflow.com/windowdoor/objectdetection_kitchen } },
  url = { https://universe.roboflow.com/windowdoor/objectdetection_kitchen },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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