Ultralytics Tiger-pose Dataset: 263 Images with 12 Keypoints per Tiger

Ultralytics Tiger-pose is a specialized dataset for pose estimation of tigers, containing 210 training and 53 validation images. Each image is annotated with 12 keypoints per tiger. The dataset was created by Ultralytics and was last updated on November 13, 2024.

Use Cases

• Fine-tuning pose estimation models based on the annotated tiger keypoints.
• Benchmarking model performance on non-human subjects using the provided training/validation split.
• Developing wildlife monitoring tools based on the tiger pose annotations.
• Studying animal biomechanics or behavior from the keypoint data.

Strengths

• Contains 263 total annotated images (210 training, 53 validation).
• Each tiger is annotated with 12 keypoints, providing structured pose data.
• Designed for use with Ultralytics HUB and YOLOv8, suggesting integration support.

Limitations

• Dataset size is relatively small, with only 263 total images.
• Column-level documentation is absent; field semantics must be inferred after download.
• The narrow focus on tigers may limit generalizability to other species.

Provenance

Source

Ultralytics

Freshness

Last updated 2024-11-13 15:27:07; freshness should be verified.