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What are the best ways to showcase your computer vision skills in a coding challenge?

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Computer vision is one of the most exciting and in-demand fields of artificial intelligence (AI). It involves teaching machines how to see, understand, and manipulate images and videos. If you want to land a job or a project in this domain, you need to prove your skills in a coding challenge. A coding challenge is a timed test that assesses your ability to solve problems using code. In this article, you will learn some tips on how to showcase your computer vision skills in a coding challenge.

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Muhammad Rizwan Munawar

Computer Vision, Growth @ ultralytics | visionusecases.com | 120K+ Reads & 250K+ Views on Medium | Open Source…
Umaid Asim

CEO at SensViz | Building human-centric AI applications that truly understands and empowers you | Helping businesses…
James Demmitt, MBA

CEO, Purveyor of customer value, innovation, and employee growth. Always a student. | USMC Veteran

1 Understand the task

The first step to ace a coding challenge is to understand what the task is asking you to do. Read the instructions carefully and identify the input, output, and evaluation criteria. For example, if the task is to classify images into different categories, you need to know what the categories are, how many images are given, and how the accuracy is measured. You also need to clarify any assumptions or limitations that may affect your solution. For example, are you allowed to use any external libraries or frameworks? How much memory and time are available?

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Umaid Asim

CEO at SensViz | Building human-centric AI applications that truly understands and empowers you | Helping businesses and individuals leverage AI | Entrepreneur | AI Leader
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When tackling a coding challenge to display my computer vision prowess, I adopt a hands-on, practical approach. I start by thoroughly dissecting the task to grasp its essence. Then, using my expertise, I select the most suitable computer vision methods, perhaps focusing on areas like pattern recognition or real-time image processing. Implementing these with a clear, concise code demonstrates not just my technical skills, but also my ability to apply them effectively to real-world scenarios. This practical demonstration of skills helps my work stand out, showing that I don't just understand computer vision – I can creatively and effectively put it into action.

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2 Choose the right tools

The next step is to choose the right tools for the task. Depending on the complexity and scope of the problem, you may need to use different tools and techniques. For example, if the task is to perform basic image processing, such as resizing, cropping, or filtering, you may use standard libraries like OpenCV or Pillow. If the task is to apply advanced computer vision algorithms, such as face detection, object recognition, or semantic segmentation, you may use frameworks like TensorFlow, PyTorch, or Keras. You should also consider the trade-offs between speed, accuracy, and simplicity when choosing your tools.

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3 Write clean and efficient code

The third step is to write clean and efficient code that implements your solution. You should follow the best practices of coding, such as using meaningful variable names, commenting your code, and organizing your code into functions or classes. You should also optimize your code for performance, such as avoiding unnecessary loops, using vectorized operations, and caching intermediate results. You should also test your code for errors and bugs, and handle any exceptions or edge cases gracefully.

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Muhammad Rizwan Munawar

Computer Vision, Growth @ ultralytics | visionusecases.com | 120K+ Reads & 250K+ Views on Medium | Open Source Contributor | YOLO11 ?? | Vision Language Models
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Clean and efficient code can help the reviewer to understand your code quickly and this can be achieved by adding proper comments for each chunk of code, appropriate variable names, and the use of functions and classes. Always try to optimize your code, and avoid the usage of extra loops or unnecessary assignments. Before sending the code for review, make sure to test and debug the code.

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4 Document and explain your work

The fourth step is to document and explain your work in a clear and concise way. You should provide a brief overview of your approach and rationale, as well as any assumptions or limitations you made. You should also explain how you tested and evaluated your code, and what results you obtained. You should also comment on any challenges or difficulties you faced, and how you overcame them. You should also suggest any possible improvements or extensions for your solution.

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5 Showcase your creativity and innovation

The fifth step is to showcase your creativity and innovation in your solution. You should demonstrate that you can think outside the box and apply your computer vision skills to novel and interesting problems. You should also show that you can use your own data or generate synthetic data to enhance your solution. You should also try to add some features or functionalities that go beyond the basic requirements of the task. For example, you could add a user interface, a visualization, or a feedback mechanism to your solution.

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James Demmitt, MBA

CEO, Purveyor of customer value, innovation, and employee growth. Always a student. | USMC Veteran
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Demonstrate the ability to process images or video streams in real-time. Show your skills in reducing latency and optimizing algorithms for speed without compromising accuracy. Instead of solely relying on pre-built libraries, consider demonstrating your ability to develop custom algorithms tailored for specific tasks. This shows deep understanding and innovation. Exhibit your knowledge of advanced data augmentation techniques to improve model robustness, which is especially impressive if you're working with limited datasets. Display your ability to integrate computer vision with other AI domains, such as natural language processing or predictive analytics, to solve more complex problems.

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6 Learn from feedback and improve

The sixth and final step is to learn from feedback and improve your skills. You should review your solution and compare it with other solutions or benchmarks. You should identify your strengths and weaknesses, and seek feedback from experts or peers. You should also learn from your mistakes and failures, and use them as opportunities to grow. You should also keep updating your knowledge and skills in computer vision, and explore new tools and techniques.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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MD. NAZMUS SAKIB BIN ALAM

LinkedIn Top Voice for AI | Engineering Talent Recruiter | Executive Vice President | Executive Search | Google Certified Data Analyst | Researcher
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Showcasing computer vision skills in a coding challenge diligently itself is a great skill. There are few productive ways through which it can be achieved like ??: ? Illustrating impactful projects with decent results ? Document the code and optimize it for readability ? Showcase the level of accuracy achieved in the project ? Demonstrate preprocessing skills for robust models ? Use the best visuals to give an idea about the approach There are many which still can be added. Looking out for more suggestions ??

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What are the best ways to showcase your computer vision skills in a coding challenge?

1

2

3

4

5

6

7

1 Understand the task

2 Choose the right tools

3 Write clean and efficient code

4 Document and explain your work

5 Showcase your creativity and innovation

6 Learn from feedback and improve

7 Here’s what else to consider

Artificial Intelligence

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What are the best ways to showcase your computer vision skills in a coding challenge?

1

2

3

4

5

6

7

1 Understand the task

2 Choose the right tools

3 Write clean and efficient code

4 Document and explain your work

5 Showcase your creativity and innovation

6 Learn from feedback and improve

7 Here’s what else to consider

Artificial Intelligence

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