This dataset contains 1,000 classes (which were selected to be temporally localizable). While several youtube based datasets exist, I will be using the 237k Human-verified 5 second clips ( here). The overall goal of the Yt8M competition is to temporally localize topics of interest. The obvious reason a company has interest in this is to determine video contents that are not described by the uploader. Many companies have an interest in things like labeling videos with meta-information such as events happening in a videoĪn example of the detected action "blowing out candles" Kaggle hosted the 3rd YouTube-8M Video understanding challenge. This is a post to cover the basics of the YouTube-8M challenge
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