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README.md
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license: cc-by-nc-nd-4.0
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---
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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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# Facial Keypoints
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The dataset is designed for computer vision and machine learning tasks involving the identification and analysis of key points on a human face. It consists of images of human faces, each accompanied by key point annotations in XML format.
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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 **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market)**
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# Data Format
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Each image from `FKP` 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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# Labeled Keypoints
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**1.** Left eye, the closest point to the nose
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**2.** Left eye, pupil's center
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**3.** Left eye, the closest point to the left ear
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**4.** Right eye, the closest point to the nose
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**5.** Right eye, pupil's center
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**6.** Right eye, the closest point to the right ear
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**7.** Left eyebrow, the closest point to the nose
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**8.** Left eyebrow, the closest point to the left ear
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**9.** Right eyebrow, the closest point to the nose
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**10.** Right eyebrow, the closest point to the right ear
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**11.** Nose, center
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**12.** Mouth, left corner point
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**13.** Mouth, right corner point
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**14.** Mouth, the highest point in the middle
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**15.** Mouth, the lowest point in the middle
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# Keypoint annotation is made in accordance with your requirements.
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## **[TrainingData](https://trainingdata.pro/data-market)** provides high-quality data annotation tailored to your needs
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