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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- code |
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- finance |
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--- |
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# Pose Estimation |
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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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# Get the Dataset |
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This is just an example of the data. If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F31b38dee8dc63c581004afcf82136116%2F12.jpg?generation=1684357817470094&alt=media) |
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# Data Format |
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Each image from `EP` 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. |
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# Example of XML file structure |
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc8b7cc938539368c9ec03dd01a26724c%2Fcarbon%20(1).png?generation=1684358333663868&alt=media) |
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# Labeled body parts |
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Each keypoint is ordered and corresponds to the concrete part of the body: |
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0. **Nose** |
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1. **Neck** |
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2. **Right shoulder** |
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3. **Right elbow** |
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4. **Right wrist** |
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5. **Left shoulder** |
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6. **Left elbow** |
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7. **Left wrist** |
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8. **Right hip** |
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9. **Right knee** |
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10. **Right foot** |
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11. **Left hip** |
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12. **Left knee** |
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13. **Left foot** |
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14. **Right eye** |
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15. **Left eye** |
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16. **Right ear** |
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17. **Left ear** |
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# Keypoint annotation is made in accordance with your requirements. |
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/trainingdata-pro** |