Large Scale Dataset

Large-scale datasets are crucial for training and evaluating advanced machine learning models across diverse scientific domains, driving progress in areas like computer vision, natural language processing, and genomics. Current research focuses on creating datasets for specific, challenging tasks, such as robust object detection in complex environments (e.g., underwater, cluttered scenes, low-light conditions), multimodal data integration (e.g., image-text, video-text), and handling long-range dependencies (e.g., in video grounding and temporal question answering). The availability of these high-quality, large datasets is essential for advancing model performance and enabling new applications in various fields, from autonomous driving and medical diagnosis to climate change modeling and personalized recommendations.