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YOLO (YOLOv8) for classification of crack (hairline, structural, spaling) and manipulating image using OpenCV for adding text

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YOLOv8 for Crack Classification and Image Manipulation with OpenCV 🛠️

This project leverages YOLOv8 for the classification of different types of cracks (hairline, structural, spalling) on surfaces. Additionally, it uses OpenCV for image manipulation, including adding custom text to the images.

Features

  • Crack Classification: Classifies cracks into three categories:

    1. Hairline Cracks
    2. Structural Cracks
    3. Spalling Cracks
  • Image Manipulation: The software uses OpenCV to:

    • Overlay text onto the detected cracks
    • Highlight the areas of interest
  • Real-time Processing: Enables real-time detection and classification of cracks in images.

Technologies Used

  • YOLOv8 for crack detection and classification
  • OpenCV for image processing and text manipulation
  • Python for the backend logic and control

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YOLO (YOLOv8) for classification of crack (hairline, structural, spaling) and manipulating image using OpenCV for adding text

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