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Top 36 Computer Vision Interview Questions
Entry Junior Mid Senior Expert
Computer Vision Theoretical Questions
Q1:
What is the difference between Semantic Segmentation and Instance Segmentation in Computer Vision?
Junior
Q2:
What are the main steps in a typical Computer Vision pipeline?
Junior
Q3:
What types of features in Computer Vision do you know?
Junior
Q4:
What is a Descriptor and how many types of them do you know?
Junior
Q5:
What makes a Good Feature for Object Recognition?
Junior
Q6:
How can you evaluate the predictions in an Object Detection model?
Junior
Q7:
What's the difference between Computer Vision and Image Processing?
Junior
Q8:
What Morphological Operations do you know?
Mid Q9:
What Image Thresholding methods do you know?
Mid Q10:
What Face Recognition methods do you know?
Mid Q11:
What would you do if you need to train an Image Classification network and don't have enough data?
Mid Q12:
How to detect Edges in an image?
Mid Q13:
How does Image Registration work?
Mid Q14:
What's the difference between Linear Filters and Non-Linear Filters?
Mid Q15:
What Image Noise Filters techniques do you know?
Mid Q16:
What are the main steps in Feature Detection and Matching in Computer Vision?
Mid Q17:
What is the difference between Feature Detection and Feature Extraction?
Mid Q18:
What's the difference between Sampling and Quantization?
Mid Q19:
What Image Processing algorithms do you know?
Mid Q20:
How would you decide when to grayscale the input images for a Computer Vision problem?
Mid Q21:
What are the main steps in a Face Recognition process?
Mid Q22:
Related To: Neural Networks
How do Neural Networks distinguish useful features from non-useful features in Computer Vision?
Related To: Neural Networks Mid Q23:
When would you use Homographies as a Transformation technique?
Mid Q24:
How does the Non-Max Suppression technique work?
Mid Q25:
How can you represent an Image as a Function?
Mid Q26:
Provide an intuitive explanation of how The Sliding Window approach works in Object Detection
Mid Q27:
What types of Keypoints do you know?
Senior Q28:
What Image Segmentation Loss Functions do you know?
Senior Senior Q30:
Are there any problems when using YOLO architecture for object detection?
Senior Q31:
How does Region-Based CNN are used in Object Detection?
Senior Q32:
Compare Sobel vs Canny techniques for Edge Detection in Computer Vision
Senior Senior Q34:
What are the Affine Transformations and why would you use them?
Senior Q35:
Why are Keypoint Descriptors useful in Computer Vision?
Expert Q36:
What's the difference between SIFT and SURF?
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