Video classification is the process of automatically assigning a category or label to an entire video. This task can be accomplished using tools like the Hugging Face library, which offers a pipeline for video classification. By inputting a video link into the pipeline, the model can predict the most likely class for the video along with a confidence score. In an example provided, a video of a basketball game is classified as a “BasketballDunk” with a high confidence score. This process involves using pre-trained models to analyze and classify videos based on their content. The Hugging Face documentation provides more information on how to perform video classification tasks using their library. Overall, video classification is a valuable tool for organizing and analyzing large amounts of video content efficiently.
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Source link: https://medium.com/@okanyenigun/exploring-hugging-face-video-classification-958e7e85deec?source=rss——artificial_intelligence-5
Unveiling Hugging Face: Analyzing Videos – Okan Yenigün #AI
