furniture detection Object Detection Dataset and Pre-Trained Model by Nos Tashteeb

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Explore Dataset

Here are a few use cases for this project:

Interior Design Planning: The model can be used by interior designers to identify existing furniture in a room and provide recommendations about what could be added or changed based on the analysis.
E-Commerce Augmented Reality (AR) Apps: E-commerce apps selling furniture could use this model to enable an AR feature, where customers can place virtual 3D models of furniture in their room and see how it fits with existing pieces.
Real Estate Virtual Tours: In virtual tours or property images, the model can identify different pieces of furniture, providing potential buyers or renters a detailed inventory of furnished properties.
Home Insurance Claims: Insurers can use the model to automate the process of identifying and categorizing home content in submitted claim photos, expediting the claims process.
Assistive Technology for Visually Impaired: The model can help in developing applications or wearables that identify and describe the furniture to visually impaired people, aiding them to navigate indoor spaces independently.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            furniture-detection-2kump_dataset,
                            title = { furniture detection Dataset },
                            type = { Open Source Dataset },
                            author = { Nos Tashteeb },
                            howpublished = { \url{ https://universe.roboflow.com/nos-tashteeb-2qzbe/furniture-detection-2kump } },
                            url = { https://universe.roboflow.com/nos-tashteeb-2qzbe/furniture-detection-2kump },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }