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Cross-domain Adaptation For Animal Pose Estimation
2D Box
2D Keypoints
Pose Estimation
|Animal
|...
License: Unknown

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. Besides, the
dataset also contains bounding box annotations for other 7 animal categories. 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 Summary
Type
Image,
Amount
--
Size
798.72MB
Provided by
Tencent
Tencent Holdings Ltd, also known as Tencent, is a Chinese multinational technology conglomerate holding company. Founded in 1998, its subsidiaries globally market various Internet-related services and products, including in entertainment, artificial intelligence, and other technology.
| Amount -- | Size 798.72MB
Cross-domain Adaptation For Animal Pose Estimation
2D Box 2D Keypoints
Pose Estimation | Animal
License: Unknown

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. Besides, the
dataset also contains bounding box annotations for other 7 animal categories. 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}
}
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