File size: 3,584 Bytes
d59c8ad
 
999a1c3
 
 
 
 
 
 
6227dca
 
 
 
 
 
 
 
 
 
 
 
38952e9
6227dca
38952e9
 
d59c8ad
d494749
999a1c3
 
2d5d49a
999a1c3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2d5d49a
d494749
2d5d49a
b78dcf7
 
 
d494749
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
language:
- en
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
---
# Facial Keypoints - Face Recognition Dataset
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.

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/facial-emotion-image-collection?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection)** to 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.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/facial-emotion-image-collection?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection)** to discuss your requirements, learn about the price and buy the dataset

## **[TrainingData](https://trainingdata.pro/datasets/facial-emotion-image-collection?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**

*keywords: facial keypoint detection, facial keypoint data, facial keypoints dataset, keypoints dataset, people with keypoints, keypoints annotation, keypoint detection dataset, biometric dataset, biometric data dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, human images dataset*