Google has published the YouTube-8M Segments dataset, a collection of 237,000 five-second video segments annotated with time-localized labels to help train AI systems to predict video content. Google had previously published the full YouTube-8M dataset of videos which led to advancements in video classification algorithms, however the video clips lacked enough annotations for an AI system to predict what would happen next in a video. The Segments dataset consists of a portion of the full videos from the full YouTube-8M dataset with the addition of human-created labels indicating a video’s content at five-second intervals to enable AI systems to better understand and predict video sequences.
Understanding Timing in Videos
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