Why Squeaky-Clean Datasets Break Production Vision Models
In machine learning engineering, data cleaning is treated as an unquestioned virtue. Teams spend weeks scrubbing datasets: removing blurry frames, discarding underexposed captures, filtering unusual camera angles, and eliminating partial occlusions. The resulting dataset is pristine. Training loss…
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- 2026-11-08 14:01 · DEV Community — AI
Why Squeaky-Clean Datasets Break Production Vision Models