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FarmwiseAI Private Limited Computer Vision Engineer Interview Questions and Answers

Updated 27 Feb 2024

FarmwiseAI Private Limited Computer Vision Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Assignment 

Image dataset of Tea farm was given and we were expected to collect certain data, performing image segmentation on the dataset.

Round 2 - Technical 

(1 Question)

  • Q1. Can you train model using MATLAB for image classifications?
  • Ans. 

    Yes, MATLAB can be used to train models for image classifications.

    • MATLAB provides tools like Image Processing Toolbox and Deep Learning Toolbox for training models.

    • You can use pre-trained models like AlexNet, VGG-16, etc. for image classification tasks.

    • MATLAB allows for data augmentation, transfer learning, and fine-tuning of models for better performance.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for FarmwiseAI Private Limited Computer Vision Engineer interview:
  • Machine Learning
  • Image classification
  • Image Processing
  • Image segmentation
Interview preparation tips for other job seekers - Basic understanding of python, AI, ML and must importantly be confident.

Skills evaluated in this interview

FarmwiseAI Private Limited Interview FAQs

How many rounds are there in FarmwiseAI Private Limited Computer Vision Engineer interview?
FarmwiseAI Private Limited interview process usually has 2 rounds. The most common rounds in the FarmwiseAI Private Limited interview process are Assignment and Technical.

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FarmwiseAI Private Limited Computer Vision Engineer Interview Process

based on 1 interview

Interview experience

3
  
Average
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