Welcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aims to facilitate applications in interior design, e-commerce, and augmented reality, among others.
Project Overview
Briefly describe the aim of your project, what problems it solves, and how it contributes to the broader field of image segmentation and furniture recognition.
Features
Furniture Detection: Accurately detect multiple furniture categories within an image.
Segmentation: Percise segmentation of each detected furniture item.
Efficiency: Optimized for both speed and accuracy, making it suitable for real-time applications.
Dataset Managemen: Utilization of Roboflow for dataset augmentation and preprocessing, ensuring robust model performance.
Getting Started
Prerequisites
What things you need to install the software and how to install them:
py
1python >=3.82torch
3roboflow
4ultralytics >1.08
You can install the required Python packages using:
pip install -r requirements.txt
Installation
A step-by-step series of commands that tells you how to get a development environment running.
