Universe

Architectural Object Detection Computer Vision Model

byObjectDetectplanTask:
Object Detection
License:Public Domain19 views1 download

How to use the Architectural Object Detection Detection API

Try This Model

Drop an image here or click to upload

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="architectural-object-detection/1")
Give your agent everything it needs

Or, Use Free Table, Door and Bed 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": "table, door, bed, sink, sofa"
  },
  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 100 imagesArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, windowArchitectural Object Detection architecture sample showing armchair, bed, door, sink, sofa, table, tub, window

About Architectural Object Detection Model

Modifications for Tutorial Purposes:

Image Format: Images have been converted from '.tiff' to '.png'. Directories: Images are located in the /images directory. Annotations can be found in the /annotations directory. Annotation Format: Annotations are now in multiple VOC XML format files.

About Dataset SESYD "Systems Evaluation SYnthetic Documents" is a database of synthetical documents with groundtruth. This database targets two main research problems in the document image analysis field (i) symbol recognition and spotting in line drawing images (floorplans and electrical diagrams) (ii) character segmentation and recognition in geographical maps. The database is composed of eleven collections for performance evaluation containing 284k images, 190k symbols and 284k characters (k for thousand). SESYD is today a key database in the document image analysis field published in 2010 and referred by one hundred of citations into research papers.

Please, cite the following paper [1] if you are using this database. [1] M. Delalandre, E. Valveny, T. Pridmore and D. Karatzas. Generation of Synthetic Documents for Performance Evaluation of Symbol Recognition & Spotting Systems. International Journal on Document Analysis and Recognition (IJDAR), 13(3):187-207, 2010. http://mathieu.delalandre.free.fr/publications/IJDAR2010.pdf

Cite This Project

LicensePublic Domain

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

@misc{ architectural-object-detection_dataset,
  title = { Architectural Object Detection Dataset },
  type = { Open Source Dataset },
  author = { ObjectDetectplan },
  howpublished = { \url{ https://universe.roboflow.com/objectdetectplan/architectural-object-detection } },
  url = { https://universe.roboflow.com/objectdetectplan/architectural-object-detection },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More