MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation. The dataset includes around 25K images containing over 40K people with annotated body joints. The images were systematically collected using an established taxonomy of every day human activities. Overall the dataset covers 410 human activities and each image is provided with an activity label. Each image was extracted from a YouTube video and provided with preceding and following un-annotated frames. In addition, for the test set we obtained richer annotations including body part occlusions and 3D torso and head orientations.
Following the best practices for the performance evaluation benchmarks in the literature we withhold the test annotations to prevent overfitting and tuning on the test set. We are working on an automatic evaluation server and performance analysis tools based on rich test set annotations.
MPII 人体姿势数据集是用于评估关节式人体姿势估计的最先进的基准。 该数据集包括大约 25K 幅图像，其中包含超过 40K 人带有注释的身体关节。 这些图像是使用已建立的日常人类活动分类法系统地收集的。 总体而言，该数据集涵盖了 410 个人类活动，并且每个图像都带有一个活动标签。 每个图像都是从 YouTube 视频中提取的，并提供了前后未注释的帧。 此外，对于测试集，我们获得了更丰富的注释，包括身体部位遮挡和 3D 躯干和头部方向。
遵循文献中性能评估基准的最佳实践，我们保留测试注释以防止过度拟合和调整测试集。 我们正在开发基于丰富测试集注释的自动评估服务器和性能分析工具。
URL: http://human-pose.mpi-inf.mpg.de/
License: https://opensource.org/licenses/BSD-2-Clause
| 文件大小Size | 12.10GB (12,101,283,689 bytes) |
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