Indoor Furniture Type Detection

Classified indoor furniture categories using computer vision models. This project demonstrates practical execution from architecture and implementation to measurable delivery outcomes.

Master Degree ProjectsYear 2022

Project Overview

Objective

Classified indoor furniture categories using computer vision models.

Stack

PythonYOLOOpenCV

Delivery highlights

  • Developed object detection models to classify various indoor furniture types such as chairs, sofas, and tables using Python, YOLO, and OpenCV, enabling automated visual recognition of furniture objects.
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