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Explore YOLOv5's vehicle detection with image preprocessing. Test variations include unmodified RGB, intensity images, and sharpened greyscaled images. Compare model performance across these variants.

Python 1.94% Jupyter Notebook 98.06%
computer-vision cv2 image-processing intel-realsense-camera intel-realsense2 roboflow yolov5

yolov5-image-preprocessing-for-vehicle-detection's Introduction

Hi there, I'm David ๐Ÿ‘‹

  • ๐Ÿ”ญ Iโ€™m currently pursuing: My undergraduate studies in computer engineering at MUN
  • ๐ŸŒฑ Iโ€™m currently learning: Ethical Hacking
  • ๐Ÿ›ฅ๏ธ I'm currently developing: A self-autonomous vehicle with Iceberg ASV for the Roboboat 2025 competition in Sarasota, Florida. Check the link to our repo: Iceberg ASV GitHub Repository
  • ๐Ÿ“ซ How to reach me: [email protected]
  • ๐Ÿ“— My Resume: David Guaman Davila's Resume
  • ๐Ÿ˜„ Pronouns: he/him
  • ๐ŸŒ Check out my Portfolio Website
  • โšก Fun fact: I'm from Quito, Ecuador

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