| _version_ | 1866902116117774336 |
|---|---|
| author | Sánchez González, Lidia Mayoko, Jean Chrysostome |
| author_facet | Sánchez González, Lidia Mayoko, Jean Chrysostome |
| contents | <p>This dataset enables real-time object detection of sheep, wolves, dogs, wild dog, redfox, fox, coyote, cow and humans for robotic shepherding applications. Built from raw YOLOv5-style sources, it integrates <strong>class balancing</strong>, <strong>video-based diversity</strong>, and <strong>strong augmentations</strong> to enhance robustness. A <strong>recycling strategy</strong> is used for rare classes. Compatible with YOLOv5 to YOLOv12, RT-DETR, and ROS 2 deployments on legged robots, the dataset includes labels, images, statistics, and visualizations, ready for direct use in training detection models for autonomous livestock protection.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16537441 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Augmented and Diverse Herding Dataset for Autonomous Shepherd Robots Sánchez González, Lidia Mayoko, Jean Chrysostome <p>This dataset enables real-time object detection of sheep, wolves, dogs, wild dog, redfox, fox, coyote, cow and humans for robotic shepherding applications. Built from raw YOLOv5-style sources, it integrates <strong>class balancing</strong>, <strong>video-based diversity</strong>, and <strong>strong augmentations</strong> to enhance robustness. A <strong>recycling strategy</strong> is used for rare classes. Compatible with YOLOv5 to YOLOv12, RT-DETR, and ROS 2 deployments on legged robots, the dataset includes labels, images, statistics, and visualizations, ready for direct use in training detection models for autonomous livestock protection.</p> |
| title | Augmented and Diverse Herding Dataset for Autonomous Shepherd Robots |
| url | https://doi.org/10.5281/zenodo.16537441 |