license: agpl-3.0
tags:
- computervision
- poseestimation
- YOLO11
- ultralytics-pose-estimation
- visionai
- tiger-pose
pretty_name: t
size_categories:
- n<1K
Ultralytics Tiger-pose Dataset
Introduction
Ultralytics Tiger-pose is a specialized dataset aimed at the pose estimation of tigers. It consists of 210 training and 53 validation images, each annotated with 12 keypoints per tiger. Due to the dataset's narrow focus, it serves as an excellent resource for refining pose estimation models, particularly those that need to handle non-human subjects.
This dataset is intended for use with Ultralytics HUB and YOLOv8.
Key Points Structure
The dataset contains 12 keypoints per tiger, focused on various anatomical landmarks. It should be noted that this dataset does not include a third dimension for keypoint visibility.
Sample Images and Annotations
Here are some examples of images from the dataset, along with their corresponding annotations in a training mosaic:
Resources
For more information about how to use Tiger-pose, the following resources are available:
- Browse the detailed dataset documentation at Docs for usage and implementation guidance.
- Raise an issue on GitHub for support and troubleshooting.
- Join our Discord community to engage in discussions with fellow users and developers.
- Explore Ultralytics' wider work and community engagement at our Community page.
To request an Enterprise License, please complete the form at Ultralytics Licensing.