---
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](https://ultralytics.com) 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](https://hub.ultralytics.com) and [YOLOv8](https://github.com/ultralytics/ultralytics).

## 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:

<img src="https://user-images.githubusercontent.com/62513924/272491921-c963d2bf-505f-4a15-abd7-259de302cffa.jpg" alt="Dataset sample image" width="1024">

## Resources

For more information about how to use Tiger-pose, the following resources are available:

- Browse the detailed dataset documentation at [Docs](https://docs.ultralytics.com/datasets/pose/tiger-pose/) for usage and implementation guidance.
- Raise an issue on [GitHub](https://github.com/ultralytics/hub/issues/new/choose) for support and troubleshooting.
- Join our [Discord](https://ultralytics.com/discord) community to engage in discussions with fellow users and developers.
- Explore Ultralytics' wider work and community engagement at our [Community](https://community.ultralytics.com) page.

To request an Enterprise License, please complete the form at [Ultralytics Licensing](https://ultralytics.com/license).