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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.

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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

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.

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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

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