Powerhouse AI Computer Vision Engineer Interview Questions and Answers

* General Image Processing Algorithms
* Multithreading and MultiProcesssing

Q1. How would you approach the problem of training a model to detect this plastic bottle?
Ans. 
I would approach the problem by collecting a dataset of images containing plastic bottles, preprocessing the images, selecting a suitable model architecture, training the model, and evaluating its performance.
• Collect a dataset of images containing plastic bottles and label them accordingly

• Preprocess the images by resizing, normalizing, and augmenting them to improve model performance

• Select a suitable model architecture...read more
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Q2. Tell me about you projects
Ans. 
I have worked on projects involving object detection, image classification, and facial recognition.
• Developed a deep learning model for detecting and classifying different types of fruits in images

• Implemented a facial recognition system using OpenCV and dlib libraries

• Collaborated on a project to detect and track vehicles in real-time using computer vision techniques
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