SiLVi: Simple Interface for Labeling Video Interactions
SiLVi is an open-source tool that helps researchers label video data by integrating behavioral labeling and localization for interactions. It allows users to annotate actions and social events directly within video frames, generating structured outputs for training computer vision models. This enables the creation of precise, spatially localized datasets that capture complex social dynamics.