UniqueData/pose_estimation
The dataset is primarly intended to dentify and predict the positions of major joints of a human body in an image. It consists of people's photographs with body part labeled with keypoints.
Pose Estimation
The dataset is primarly intended to dentify and predict the positions of major joints of a human body in an image. It consists of people's photographs with body part labeled with keypoints.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation) to buy the dataset
Data Format
Each image from PE folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the key points. For each point, the x and y coordinates are provided, and there is a Presumed_Location attribute, indicating whether the point is presumed or accurately defined.
Example of XML file structure
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Labeled body parts
Each keypoint is ordered and corresponds to the concrete part of the body:
0 Nose
1 Neck
2 Right shoulder
3 Right elbow
4 Right wrist
5 Left shoulder
6 Left elbow
7 Left wrist
8 Right hip
9 Right knee
10 Right foot
11 Left hip
12 Left knee
13 Left foot
14 Right eye
15 Left eye
16 Right ear
17 Left ear
Keypoint annotation is made in accordance with your requirements.
💴 Buy the Dataset: This is just an example of the data. Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation) to discuss your requirements, learn about the price and buy the dataset
Leave a request on our website to discuss your requirements, learn about the price and buy the dataset.
Our Team provides high-quality data annotation tailored to your needs
keywords: keypoints dataset, people with keypoints, keypoints annotation, keypoint detection dataset, biometric dataset, biometric data dataset, pose recognition database, pose detection dataset, pose estimation dataset, annotated body joints, pose annotations dataset, human images dataset, 2d human movements, hpe dataset