Question Bank
Computer Vision interview questions
An image model may perform well on a test set and fail when the camera or lighting changes. Review architectures, data preparation and evaluation. For each choice, discuss which changes in the input could make the solution unreliable.
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What augmentations did you use when training the vision model?
А как модели распознать физически, что картинки одинаковые?
From what you said, have you worked on both video computer vision tasks and more conventional computer vision tasks?
What tasks and projects are related to EVE (virtual reality)?
Is there a model for first-person recognition?
Is the task about video pixelization?
Are first-person videos spherical videos?
How to implement 2D to 3D video conversion using depth estimation and projections?
How to implement AI Editor system for automatic video processing by moderators?
How to automatically cut VR video into short segments for TikTok?
How to implement Outpainting for expanding video to spherical format?
How to implement Six Degrees of Freedom for creating volumetric video from regular cameras?
What else do algorithms detect? What errors in images?
How do you work with NSFW content in the product?
Can additional information be extracted from text and images?
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