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update dataset overview and ba...
c604786·
Feb 10, 2022 7:38 AM
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Overview

This dataset provides animal pose annotations on five categories are provided: dog, cat, cow, horse, sheep, with in total 6,000 instances in 4,000 images. Find details in the paper.

We annotate in total 20 keypoints: Two eyes, Throat, Nose, Withers, Two Earbases, Tailbase, Four Elbows, Four Knees, Four Paws. We select some samples from this dataset. The first figure represents keypoint-labeled animal instances from five animal categories. The second figure contains some animal images with only bounding box labeled from seven different categories: otter, bobcat, rhino, hippo, chimpanzee, bear and antelope.

Citation

Please use the following citation when referencing the dataset:

@misc{cao2019crossdomain,
      title={Cross-Domain Adaptation for Animal Pose Estimation},
      author={Jinkun Cao and Hongyang Tang and Hao-Shu Fang and Xiaoyong Shen and Cewu Lu and
Yu-Wing Tai},
      year={2019},
      eprint={1908.05806},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
Data Preview
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🎉Many thanks to Hello Dataset for contributing the dataset
Basic Information
Application ScenariosAnimal
AnnotationsBox2DKeypoints2D
TasksPose Estimation
LicenseUnknown
Updated on2022-02-11 08:09:30
Metadata
Data TypeImage
Data Volume4,558
Annotation Amount4,558
File Size417.73MB
Copyright Owner
MoE Key Lab of Artificial Intelligence, AIInstitute, Shanghai Jiao Tong University
Annotator
UC Berkeley