YouTube Oriented Dataset

YouTube-oriented datasets are collections of video data sourced from YouTube, used to train and evaluate machine learning models for various tasks. Current research focuses on developing and applying deep learning models, including transformers and other neural networks, to address challenges such as video quality assessment, object detection (including guns and indiscernible objects), video inpainting detection, and multimodal understanding of social media content. These datasets are significant because they provide large-scale, real-world data for advancing research in computer vision, natural language processing, and multimodal learning, with applications ranging from improved video streaming services to enhanced security systems.