/Phone_Defect_Detection_App

Software Development on Computer Vision, Showcasing your skill to the future employer😁....No Money No Worry, because this is a low resource project, you can try on Google Collab

Primary LanguagePowerShell

data/raw download from https://github.com/jianzhang96/MSD ...Use google for a free limited GPU service

Phone Defect Detection App

This application uses computer vision to detect defects on phone surfaces such as oil smudges, screen scratches, and stains.

Setup

  1. Clone this repository
  2. Install dependencies: 
    pip install -r requirements.txt
  3. Organize your dataset: 
    python src/data_preparation/organize_dataset.py
  4. Train the model: 
    python src/model/train_model.py
  5. Run the application: 
    python src/app/phone_defect_app.py

Project Structure

  • data/: Contains raw and processed datasets
  • models/: Stores trained model files
  • src/: Source code for data preparation, model training, and the main application
  • docs/: Project documentation
  • tests/: Unit tests and integration tests

Usage

  1. Launch the application
  2. Click "Select Image" to choose a phone image
  3. Click "Detect Defect" to analyze the image

The application will display the detected defect type and confidence level.