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IntegraPose: A unified framework for simultaneous pose estimation and behavior classification
DOI:10.1016/j.neuroscience.2025.10.020.png)
Abstract
En 中文
• Unified Pose and Behavior Analysis:IntegraPose delivers pose estimation and behavioral classification within a single inference pass using YOLOv11-Pose model. • High Performance Across Diverse Rodent Datasets:IntegraPose achieves robust performance on four rodent datasets (single- and multi-animal), with rapid inference times (8.3–13.4ms per frame), enabling high-throughput behavioral analysis. • Open-source and User-Friendly: The open-source, GUI-driven toolkit simplifies annotation and analysis, requiring minimal data science expertise, allowing researchers to train custom models for integrated pose-estimation and behavioral classification.
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