# Facial Keypoints
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.

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection) to discuss your requirements, learn about the price and buy the dataset.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F3d7bd72ae7143ee767c2ec54aabde499%2Fimage_keypoint.png?generation=1683577579318981&alt=media)

# Data Format

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.

# Example of XML file structure

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fb68d405e08a0d5dc6e5c87476758164d%2Fcarbon.png?generation=1684338809077422&alt=media)
    
# Labeled Keypoints

**1.** Left eye, the closest point to the nose

**2.** Left eye, pupil's center

**3.** Left eye, the closest point to the left ear

**4.** Right eye, the closest point to the nose

**5.** Right eye, pupil's center

**6.** Right eye, the closest point to the right ear

**7.** Left eyebrow, the closest point to the nose

**8.** Left eyebrow, the closest point to the left ear

**9.** Right eyebrow, the closest point to the nose

**10.** Right eyebrow, the closest point to the right ear

**11.** Nose, center

**12.** Mouth, left corner point

**13.** Mouth, right corner point

**14.** Mouth, the highest point in the middle

**15.** Mouth, the lowest point in the middle

# Keypoint annotation is made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code finance region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-classification"], "tags": ["code", "finance"], "dataset_info": {"features": [{"name": "image_id", "dtype": "uint32"}, {"name": "image", "dtype": "image"}, {"name": "mask", "dtype": "image"}, {"name": "key_points", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 134736982, "num_examples": 15}], "download_size": 129724970, "dataset_size": 134736982}}
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 

# Facial Keypoints
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.

# Get the dataset

### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

![](URL

# Data Format

Each image from 'FKP' folder is accompanied by an XML-annotation in the 'URL' 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

![](URL
    
# Labeled Keypoints

1. Left eye, the closest point to the nose

2. Left eye, pupil's center

3. Left eye, the closest point to the left ear

4. Right eye, the closest point to the nose

5. Right eye, pupil's center

6. Right eye, the closest point to the right ear

7. Left eyebrow, the closest point to the nose

8. Left eyebrow, the closest point to the left ear

9. Right eyebrow, the closest point to the nose

10. Right eyebrow, the closest point to the right ear

11. Nose, center

12. Mouth, left corner point

13. Mouth, right corner point

14. Mouth, the highest point in the middle

15. Mouth, the lowest point in the middle

# Keypoint annotation is made in accordance with your requirements.

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# Facial Keypoints
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. # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

![](URL # Data Format

Each image from 'FKP' folder is accompanied by an XML-annotation in the 'URL' 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

![](URL # Labeled Keypoints

1. Left eye, the closest point to the nose

2. Left eye, pupil's center

3. Left eye, the closest point to the left ear

4. Right eye, the closest point to the nose

5. Right eye, pupil's center

6. Right eye, the closest point to the right ear

7. Left eyebrow, the closest point to the nose

8. Left eyebrow, the closest point to the left ear

9. Right eyebrow, the closest point to the nose

10. Right eyebrow, the closest point to the right ear

11. Nose, center

12. Mouth, left corner point

13. Mouth, right corner point

14. Mouth, the highest point in the middle

15. Mouth, the lowest point in the middle # Keypoint annotation is made in accordance with your requirements. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 
 # Facial Keypoints
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. # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

![](URL # Data Format

Each image from 'FKP' folder is accompanied by an XML-annotation in the 'URL' 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

![](URL # Labeled Keypoints

1. Left eye, the closest point to the nose

2. Left eye, pupil's center

3. Left eye, the closest point to the left ear

4. Right eye, the closest point to the nose

5. Right eye, pupil's center

6. Right eye, the closest point to the right ear

7. Left eyebrow, the closest point to the nose

8. Left eyebrow, the closest point to the left ear

9. Right eyebrow, the closest point to the nose

10. Right eyebrow, the closest point to the right ear

11. Nose, center

12. Mouth, left corner point

13. Mouth, right corner point

14. Mouth, the highest point in the middle

15. Mouth, the lowest point in the middle # Keypoint annotation is made in accordance with your requirements. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
passage: TAGS
#task_categories-image-classification #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 
# Facial Keypoints
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.# Get the dataset### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

![](URL# Data Format

Each image from 'FKP' folder is accompanied by an XML-annotation in the 'URL' 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

![](URL# Labeled Keypoints

1. Left eye, the closest point to the nose

2. Left eye, pupil's center

3. Left eye, the closest point to the left ear

4. Right eye, the closest point to the nose

5. Right eye, pupil's center

6. Right eye, the closest point to the right ear

7. Left eyebrow, the closest point to the nose

8. Left eyebrow, the closest point to the left ear

9. Right eyebrow, the closest point to the nose

10. Right eyebrow, the closest point to the right ear

11. Nose, center

12. Mouth, left corner point

13. Mouth, right corner point

14. Mouth, the highest point in the middle

15. Mouth, the lowest point in the middle# Keypoint annotation is made in accordance with your requirements.## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL