Welcome to the 100 Days of Computer Vision program! This initiative is designed to help you build a strong foundation in computer vision and deepen your understanding through practical application. Over the course of 100 days, you will explore various topics, ranging from basic image processing to advanced convolutional neural networks (CNNs).
- Fork this repository to create your own copy.
- Create a folder with your GitHub username within the main directory.
- For each day's task, create a subfolder within your username folder.
- Commit your code, images, and any other relevant materials to the corresponding subfolder.
- Submit a pull request to contribute your work to the main repository.
- Each task should be organized in a clear and coherent manner within your designated folders.
- Provide a README.md file within each task's subfolder that outlines your approach, the techniques used, and any insights or challenges faced during the implementation.
- Include relevant code, images, and any additional resources that support your work.
Check the tasks.md file for a detailed list of tasks for each day. Each task is designed to build upon the previous day's learnings, gradually progressing from fundamental concepts to more advanced topics in computer vision.
To support your learning journey, we have compiled a list of resources and references related to each task. Check the Resources folder for additional learning materials and tutorials.
Join our community of learners and enthusiasts! Engage in discussions, share your progress, and provide feedback to fellow participants. Let's learn and grow together!
If you have any questions or need assistance, please feel free to reach out to us.
This repository is intended for educational purposes and is open for contributions from participants. Please adhere to the guidelines and respect the code of conduct while participating in this program.
Let's dive into the exciting world of computer vision and embark on this enriching learning journey together!