furniture detection Computer Vision Project

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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.


This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ furniture-detection-qiufc_dataset,
    title = { furniture detection Dataset },
    type = { Open Source Dataset },
    author = { Mokhamed Nagy },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-03-20 },


Mokhamed Nagy

Last Updated

4 hours ago

Project Type

Object Detection




Bed, Cabinet, Ceramic floor, Chair, Clock, Closet, Computer, Couch, Curtains, Door, Futech tiles, Gypsum Board, Monitor, Shelf, Sofa, Swivel_C, TV stand, Table, Wall Futec, Wall Panel, Window, Windows, Wooden floor, \, air conditioner, arm chair, bed, ceiling fan, chair, closet, cupboard, dining table, dining-table, dinning-table, door, drawer near bed, dresser, floor, frame, hanging lights, lamp, master bed, nightstand, photoframe, sideboard, sofa, stool, table, transparent closet, wall, wardrobe, windows

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CC BY 4.0