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Preprocessing for the UAH Prevention Dataset (https://prevention-dataset.uah.es). The final goal is to have 20 Frame individual videos for each object detected

Shell 1.22% Python 98.78%

p_uah_prevention's Introduction

Hi there ๐Ÿ‘‹ I am Anna Wu (Yu Wu)

๐ŸŒŸ About Me:
Passionate about creating technologies that make a difference, I am Anna Wu - a Software Development Engineer with a flair for enhancing vehicle safety and traffic efficiency. My journey in the tech world is driven by my fascination with computer vision and machine learning.

๐Ÿ” My Expertise:

  • ๐Ÿ’ป Skilled in Python, JavaScript, React, Node.js
  • ๐Ÿค– Pioneering in machine learning and deep learning
  • ๐Ÿš— Specializing in vehicle safety systems and real-time data processing

๐Ÿ’œ What I Love Doing:
Creating software that's not just code, but a catalyst for better user experiences and tangible business value. It's all about bringing ideas to life and watching them make a real impact.


๐Ÿš€ Projects

Advanced System Development Using Deep Learning

  • Harnessing Raspberry Pi, YOLO, LSTM, and SiamFC for cutting-edge solutions.
  • Focused on real-time processing and robust system design.

Dynamic Web Application Development

  • Building responsive web apps with a mix of React, Node.js, and JavaScript.
  • Passionate about intuitive UIs and seamless state management.

Real-Time Communication Solutions

  • A chat application that redefines real-time interactions, built with Java and WebSocket technology.
  • Emphasizing on backend logic and data persistence.

Road Recognition System Using Raspberry Pi Car-mounted Camera

  • An innovative system that enhances road safety using real-time object detection.
  • A blend of YOLO deep learning models and Raspberry Pi technology

๐Ÿ›  Skills

TensorFlow PyTorch OpenCV HTML5 CSS3 JavaScript Python React


โœ‰๏ธ Contact Me

p_uah_prevention's People

Contributors

dlb97 avatar

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