April 24, 2024, 2:45 p.m. | /u/Responsible_Dingo_50

Computer Vision www.reddit.com

Hi guys, I had an interview process going on for a company for the position of computer vision engineer. One stage was take home assignment which had a few questions. One question involved classifying fruits and the images were of pretty high resolution (1024x768) but were low in numbers(700 images approx). I tried transfer learning with data augmentation but finally picked SVM on hand extracted features owing to its better performance. In feedback, they objected the use of traditional methode …

computer computer vision computervision computer vision engineer engineer home images interview interview process low numbers process question questions resolution stage transfer transfer learning validation vision

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