How Good and Bad Image Data Decide What Computer Vision Algorithms Learn

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Computer vision algorithms are increasingly trusted to read the physical world from photographs, from tracking how leaves change color through a season to spotting flaws on a production line.

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Interpolation in Computer Vision: What Actually Happens When You Resize an Image

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Interpolation in Computer Vision is the mathematical process of estimating and filling in missing pixel values whenever an image is upscaled or downscaled. Every computer vision system runs into this problem sooner or later: a model expects images of one fixed size, but real photos never arrive in that size. Something has to decide what... Continue Reading →

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