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It leverages artificial intelligence and image processing techniques to give computers the ability to \"see\" and make decisions based on visual data.\n\nThis set of tutorials provides end-to-end examples on efficiently working with images. The tutorials are structured to guide you through the essential steps, ensuring a comprehensive understanding of image processing and augmentation techniques.\n\nComputer vision plays a pivotal role in various industries, transforming the way machines interact with the visual world. Its applications range from enhancing daily tasks to revolutionizing entire sectors, making it a key component of the evolving landscape of artificial intelligence.\n\n----\n\n## Course overview\n\n### 1. [How to work with python like a pro?](./intro/intro.ipynb)\n\nThe introductory tutorial lays the foundation for working proficiently with Python—a fundamental skill applicable throughout the entire course. This initial step ensures that student knows how to properly format code in python, how to document it and how to effortlessly work with anaconda.\n\n### 2. [What is Computer Vision](./intro/intro.pdf)\n\nThis is first lecture of the course. It aims to present what is computer vision, which challenges it encounters, crushial parts of its history and modern applications.\n\n### 2. [Image Preprocessing and Augmentation](./processing/preprocessing.ipynb)\n\nThis tutorial serves as an introduction to computer vision, focusing on tasks that should be performed before delving into machine learning. It covers crucial subjects that significantly impact a model's ability to learn and perform well. The content spans image preprocessing techniques and augmentation strategies, providing essential knowledge for enhancing the quality of your image datasets.\n\n----\n\nFollow these tutorials in the suggested order to build a strong foundation and seamlessly progress through the course, gaining valuable skills in image processing and computer vision.\n\n*This tutorial series is developed for *Koło Naukowe Data Science at Warsaw University of Technology*, as preparation for larger computer-vision based project described **[here](./descGeoa.pdf)***","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpawlo77%2Fcomputer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpawlo77%2Fcomputer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpawlo77%2Fcomputer-vision/lists"}