Which algorithm would you use for a tracking problem in the sports sector
Computer Vision Software Engineer Interview Questions
1,050 computer vision software engineer interview questions shared by candidates
3] Write a function that performs 1D convolution
Nothing special, mostly around machine/deep learning and data structure
Basics of machine learning such as ML algorithms, metrics used for judging different types of problems, differentiating change seen in deep learning from the older times, scenario based questions.
Inheritance, polymorphism. Many questions related to graphs and graph traversals. How would you implement a connected components labeling in a binary image?
What projects have you worked on in the past? Why did you use this algorithm. Explain project's pipeline?
I was asked about the intuition of Low Pass Filters, High Pass Filters etc.
What is histogram equalization? What feature detectors and descriptors are you aware of? What object detection models are you aware of? Some details about MaskRCNN?
1. What are some points not related to work where you disagreed with your teammates. 2. Why do you want to join this team. 3, Implement gradient descent in python 4. What do you know about transformer architecture etc
If you have a sorted set of numbers, write a function that returns the position(s) of an input number How would you develop a face recognition algorithm to recognize faces that are at a resolution less than 30x30 pixels? How would you develop a face recognition algorithm to mitigate pose and illumination variances? What are the advantages of a Support Vector Machine classifier? What is a kernel function in a Support Vector Machine? What is the difference between backpropagation and gradient descent?
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