Welcome to the Computer Vision Interview Questions and Answers repository! This collection is designed to help individuals prepare for interviews related to computer vision, whether you are a beginner or an experienced practitioner.
Computer vision is a fascinating field that involves teaching machines to interpret and understand visual information. Whether you're preparing for a job interview or just looking to enhance your knowledge in computer vision, this repository is a valuable resource.
Here, you will find a curated list of interview questions and detailed answers covering a wide range of topics in computer vision. The questions are categorized to cover fundamental concepts, popular algorithms, and real-world applications.
Navigate through the different folders to explore questions related to specific topics. Each question is accompanied by a detailed answer to help you understand the underlying concepts.
Use these questions as a tool for self-assessment and practice. Try solving the questions on your own before referring to the answers. This will help reinforce your understanding and problem-solving skills.
Feel free to contribute by adding new questions, improving existing answers, or suggesting corrections. Follow the guidelines in the Contributing section to contribute to the growth of this resource.
We welcome contributions from the community to make this repository even more comprehensive. If you have additional questions, better explanations, or improvements, follow these steps to contribute:
- Fork the repository.
- Create a new branch for your changes:
git checkout -b feature/your-feature. - Make your changes and commit them:
git commit -m 'Add your message here'. - Push to the branch:
git push origin feature/your-feature. - Open a pull request.
Please ensure your pull request adheres to our contribution guidelines.
This repository is licensed under the MIT License, which means you are free to use, modify, and distribute the content as long as you include the original copyright and license notice.
Happy interviewing!
I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.