Annolid: Annotate, Segment, and Track Anything You Need

arXiv:2403.18690v1 Announce Type: new
Abstract: Annolid is a deep learning-based software package designed for the segmentation, labeling, and tracking of research targets within video files, focusing primarily on animal behavior analysis. Based on state-of-the-art instance segmentation methods, Annolid now harnesses the Cutie video object segmentation model to achieve resilient, markerless tracking of multiple animals from single annotated frames, even in environments in which they may be partially or entirely concealed by environmental features or by one another. Our integration of …

abstract analysis art arxiv behavior behavior analysis cs.ai cs.cv deep learning files instance labeling object package research resilient segment segmentation software state targets tracking type video