Datasets:

UniqueData
/

pose_estimation

license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
language:
  - en
tags:
  - Pose Estimation
  - Keypoint annotation
  - biometric
dataset_info:
  features:
    - name: image_id
      dtype: uint32
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: shapes
      dtype: string
  splits:
    - name: train
      num_bytes: 142645152
      num_examples: 29
  download_size: 137240523
  dataset_size: 142645152
size_categories:
  - 1K<n<10K

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 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

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 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

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