Discuss some of the object detection techniques you have worked upon
Computer Vision Engineer Interview Questions
1,051 computer vision engineer interview questions shared by candidates
I had a take home assignment - which you code up and bring with you to the interview for a panel discussion and presentation. I had to implement a blob detection algorithm.
question sur problème de segmentation, test technique de deux heures, sur python pour le calcul de l'aire d'un polygone, sur environnement de dévellopement.
deep learning model after giving just two images? what's this nonsense??
A programming challenge was given, in Image processing applying filters. An assignment of Princeton University Archives. The solution was needed to be coded and submitted in 48 hours.
To write a proposal regarding 5 different computer-vision tasks.
First part of the interview was kind of rapid fire of questions on machine learning basics: 01. Given a list of ML algorithms, briefly explain which ones belong to supervised and which ones belong to unsupervised. 02. Definition of precision, recall, and f1-score 03. How to synthesize data using KNN algorithm 04. How to do classification using Decision Tree 05. How to do normalization during data pre-processing 06. What is overfitting, what could cause it, and what would be the suggested solutions 07. What are MSE, OLS, MAP, MLP? 08. Does DNN suffer from curse of dimensionality? Why or why not? There should be about 10-12 questions, the rest of which I have forgotten.
Did you do this exact application
Q1. Why softmax can't be used for hidden layers? Why is is used on last layer only? About Activation functions
What is feature descriptor was the question asked to me.
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