Sports-102, Yoga-82, Yoga-107, Dance-12
收藏arXiv2023-08-01 更新2024-06-21 收录
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资源简介：
本研究提出了四个用于细粒度人体姿势识别的数据集，重点关注体育、瑜伽和舞蹈姿势。这些数据集包括102个类别的Sports-102、82个类别的Yoga-82、107个类别的Yoga-107和12个类别的Dance-12。这些数据集用于训练和评估提出的SYD-Net模型，该模型集成了基于补丁的注意力机制，以提高姿势识别的性能。
This study proposes four datasets for fine-grained human pose recognition, focusing on sports, yoga and dance poses. Specifically, they are Sports-102 with 102 categories, Yoga-82 with 82 categories, Yoga-107 with 107 categories, and Dance-12 with 12 categories. These datasets are utilized to train and evaluate the proposed SYD-Net model, which integrates a patch-based attention mechanism to improve the performance of pose recognition.
提供机构：
Birla Institute of Technology and Science, Pilani, Pilani Campus, Rajasthan, 333031, India
创建时间：
2023-08-01
