Dirty-Clothes-Image-Classifier

Dirty-Clothes-Image-Classifier Let's create a structured README file for your Dirty-Clothes Image Classifier project. Here’s a draft outline, which you can expand with more details as needed:

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Dirty-Clothes Image Classifier

This project aims to classify images of clothes as either "implemented" (with coffee stains) or "not implemented" (without coffee stains) using image processing and machine learning techniques. The classifier can assist in quality control or sorting processes where stained or unstained items need to be identified.

Project Overview

The Dirty-Clothes Image Classifier is a machine learning model designed to detect and classify coffee-stained areas on clothes. This project involves:

• Deploying a video-based classification approach.
• Detecting and categorizing images with or without coffee stains.

Features

• Image Classification: Classifies images based on the presence of coffee stains.
• Image Processing: Applies Canny edge detection for identifying stain patterns.
• File Organization: Organizes classified images into designated folders.

Project Structure

Dirty-Clothes-Image-Classifier/
├── data/
│   ├── implemented/           # Folder for images with coffee stains
│   └── not_implemented/       # Folder for images without coffee stains
├── src/
│   ├── classifier.py          # Main classification script
│   └── preprocessing.py       # Image preprocessing functions
├── README.md
└── requirements.txt           # Required packages

Installation

1. Clone the repository:

   git clone https://github.com/OsmanByrm/Dirty-Clothes-Image-Classifier.git
   cd Dirty-Clothes-Image-Classifier

2. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the main classification script:

   python src/classifier.py

2. The classifier will process images, detect coffee stains, and organize them into respective folders.

Model and Methodology

The model uses Canny edge detection for edge-based stain identification. Images are classified into two categories:

• Implemented: Contains coffee stains.
• Not Implemented: Does not contain coffee stains.

Dataset

The dataset consists of images with and without coffee stains, organized as follows:

• Implemented: Images with coffee stains.
• Not Implemented: Images without coffee stains.

Future Enhancements

• Implement more sophisticated image processing algorithms for improved stain detection.
• Expand the dataset with more stain types.
• Optimize the model for real-time detection.