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Don't Label Everything: Stratified Sampling for Video Datasets That Fits a Real Budget

Sooner or later, most teams that work with video data hit the same wall. You get access to a large video dataset — millions of rows of video IDs, titles, channel names, languages, upload dates, durations, and engagement counters across platforms like YouTube and TikTok — and the plan is to train so…

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  1. 2026-09-23 09:22 · DEV Community — Machine Learning
    Don't Label Everything: Stratified Sampling for Video Datasets That Fits a Real Budget

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