Scene Datasets

Scene datasets are collections of images or point clouds representing diverse environments, used to train and evaluate computer vision models for tasks like scene classification, segmentation, and 3D reconstruction. Current research focuses on developing efficient and robust models, including transformers and neural radiance fields, often leveraging techniques like transfer learning, self-supervised learning, and federated learning to address challenges such as data scarcity and computational cost. These advancements are crucial for improving the accuracy and efficiency of applications ranging from autonomous driving and robotics to remote sensing and crime scene analysis.