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?
Vision De Datos Interview Questions
1,183 vision de datos interview questions shared by candidates
Simple Algorithm Question. Also some computer vision questions.
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
Differences between tensors and vectors/arrays
Explain a time when you have shown adaptability.
I was asked to implement a data structure in C++ and solve 4 other small problems within 30 minutes. Afterwards, they rated the quality of my code and validity of the way I decided to implement the tasks I was given. I wasn't able to complete 2 of the tasks within the time limit, but after the time was up, I correctly answered how I'd solve them. They also asked me an open question about how would I approach a pattern recognition problem using conventional computer vision techniques and leaded me through the possible options and we discussed why one approach would be better than another.
How does a convolution work
standard Leetcode Medium questions and common behavioural
What have you done during you project?
Image Processing Techniques
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