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face_001.jpg
28
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Joy
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1
face_002.jpg
35
Female
Caucasian
Sad
Sadness
Sadness_Caucasian_Female_35_Sad
2
face_003.jpg
42
Male
African
Surprised
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Surprise_African_Male_42_Surprised
3
face_004.jpg
21
Female
Hispanic
Angry
Anger
Anger_Hispanic_Female_21_Angry
4
face_005.jpg
30
Non-binary
Middle Eastern
Neutral
Neutral
Neutral_Middle_Eastern_Nonbinary_30_Neutral
5
joyful_smile_28_asian_male.jpg
28
Male
Asian
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Joy
Joy_Asian_Male_28_Happy
6
face_006.jpg
35
Female
Caucasian
Sad
Sadness
Sadness_Caucasian_Female_35_Sad
7
face_001.jpg
28
Male
Asian
Happy
Joy
Joy_Asian_Male_28_Happy
8
face_006.jpg
29
Female
Hispanic
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9
face_006.jpg
29
Non-binary
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Neutral_Middle_Eastern_Nonbinary_29_Smiling
10
face_051.jpg
29
Male
Asian
Happy
Joy
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11
face_006.jpg
29
Female
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Sadness
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12
face_010.jpg
42
Male
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13
face_006.jpg
22
Female
Hispanic
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14
face_010.jpg
29
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15
laughing_face_28_asian_male.jpg
28
Male
Asian
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16
face_007.jpg
35
Female
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face_002.jpg
35
Female
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face_007.jpg
22
Female
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face_007.jpg
33
Non-binary
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20
face_052.jpg
27
Male
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21
face_007.jpg
36
Female
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22
face_011.jpg
42
Male
African
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23
face_007.jpg
33
Male
Hispanic
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24
face_011.jpg
34
Female
Middle Eastern
Calm
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25
cheerful_asian_28_male.jpg
28
Male
Asian
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Joy
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26
face_008.jpg
35
Female
Caucasian
Sad
Sadness
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27
face_003.jpg
42
Male
African
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28
face_008.jpg
27
Female
Hispanic
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29
face_008.jpg
36
Non-binary
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30
face_053.jpg
30
Male
Asian
Happy
Joy
Joy_Asian_Male_30_Happy
31
face_008.jpg
34
Female
Caucasian
Sad
Sadness
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32
face_012.jpg
43
Male
African
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Surprise_African_Male_43_Surprised
33
face_008.jpg
25
Female
Hispanic
Angry
Anger
Anger_Hispanic_Female_25_Angry
34
face_012.jpg
31
Male
Middle Eastern
Calm
Neutral
Neutral_Middle_Eastern_Male_31_Calm
35
content_28_year_old_asian_male.jpg
28
Male
Asian
Content
Joy
Joy_Asian_Male_28_Happy
36
face_009.jpg
35
Female
Caucasian
Sad
Sadness
Sadness_Caucasian_Female_35_Sad
37
face_004.jpg
21
Female
Hispanic
Angry
Anger
Anger_Hispanic_Female_21_Angry
38
face_009.jpg
23
Female
Hispanic
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Anger
Anger_Hispanic_Female_23_Angry
39
face_009.jpg
31
Non-binary
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Neutral_Middle_Eastern_Nonbinary_31_Fearful
40
face_054.jpg
32
Male
Asian
Happy
Joy
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41
face_009.jpg
33
Female
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Sadness_Caucasian_Female_33_Sad
42
face_013.jpg
42
Male
African
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Surprise_African_Male_42_Surprised
43
face_009.jpg
29
Non-binary
Hispanic
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Anger
Anger_Hispanic_Nonbinary_29_Angry
44
face_013.jpg
28
Non-binary
Middle Eastern
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45
happy_asian_28_guy.jpg
28
Male
Asian
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Joy
Joy_Asian_Male_28_Happy
46
face_010.jpg
35
Female
Caucasian
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Sadness_Caucasian_Female_35_Sad
47
face_005.jpg
30
Non-binary
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48
face_010.jpg
24
Female
Hispanic
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49
face_010.jpg
27
Non-binary
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50
face_055.jpg
28
Male
Asian
Happy
Joy
Joy_Asian_Male_28_Happy
51
face_010.jpg
37
Female
Caucasian
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Sadness_Caucasian_Female_37_Sad
52
face_014.jpg
42
Male
African
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53
face_010.jpg
27
Male
Hispanic
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54
face_014.jpg
36
Female
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55
joy_in_28_asian_male_face.jpg
28
Male
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56
face_011.jpg
35
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57
face_006.jpg
42
Male
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58
face_011.jpg
20
Female
Hispanic
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59
face_011.jpg
39
Non-binary
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Neutral_Middle_Eastern_Nonbinary_39_Amused
60
face_056.jpg
33
Male
Asian
Happy
Joy
Joy_Asian_Male_33_Happy
61
face_011.jpg
30
Female
Caucasian
Sad
Sadness
Sadness_Caucasian_Female_30_Sad
62
face_015.jpg
41
Male
African
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Surprise
Surprise_African_Male_41_Surprised
63
face_011.jpg
36
Female
Hispanic
Angry
Anger
Anger_Hispanic_Female_36_Angry
64
face_015.jpg
22
Male
Middle Eastern
Calm
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Neutral_Middle_Eastern_Male_22_Calm
65
28_year_old_asian_man_smiling.jpg
28
Male
Asian
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Joy
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66
face_012.jpg
35
Female
Caucasian
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Sadness
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67
face_007.jpg
28
Male
Asian
Happy
Joy
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68
face_012.jpg
26
Female
Hispanic
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Anger
Anger_Hispanic_Female_26_Angry
69
face_012.jpg
32
Non-binary
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Happy
Neutral
Neutral_Middle_Eastern_Nonbinary_32_Happy
70
face_057.jpg
25
Male
Asian
Happy
Joy
Joy_Asian_Male_25_Happy
71
face_012.jpg
38
Female
Caucasian
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Sadness
Sadness_Caucasian_Female_38_Sad
72
face_016.jpg
42
Male
African
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73
face_012.jpg
20
Male
Hispanic
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74
face_016.jpg
25
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75
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28
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76
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35
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face_008.jpg
35
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78
face_013.jpg
28
Female
Hispanic
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79
face_013.jpg
26
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80
face_058.jpg
29
Male
Asian
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81
face_013.jpg
32
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82
face_017.jpg
42
Male
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83
face_013.jpg
31
Female
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84
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30
Female
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85
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28
Male
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86
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35
Female
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Sadness_Caucasian_Female_35_Sad
87
face_009.jpg
42
Male
African
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88
face_014.jpg
25
Female
Hispanic
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Anger_Hispanic_Female_25_Angry
89
face_014.jpg
37
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90
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34
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Asian
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Joy
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91
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28
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42
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93
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28
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96
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35
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97
face_010.jpg
21
Female
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98
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21
Female
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30
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FacialRecognitionArchive

tags: classification, identity verification, biometric

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'FacialRecognitionArchive' dataset is a curated collection of high-resolution facial images used for training and evaluating machine learning models in the field of face recognition. The dataset includes a diverse range of faces across various demographics, such as age, gender, ethnicity, and expressions, ensuring that models trained on this dataset can achieve high levels of accuracy and robustness. The primary application of this dataset is in identity verification systems, which require reliable and efficient face recognition capabilities. The dataset is structured to support various classification tasks, including but not limited to, individual identity recognition, emotion detection, and age estimation.

CSV Content Preview:

id,file_name,age,gender,ethnicity,expression,emotion,label
1,face_001.jpg,28,Male,Asian,Happy,Joy,Joy_Asian_Male_28_Happy
2,face_002.jpg,35,Female,Caucasian,Sad,Sadness,Sadness_Caucasian_Female_35_Sad
3,face_003.jpg,42,Male,African,Surprised,Surprise,Surprise_African_Male_42_Surprised
4,face_004.jpg,21,Female,Hispanic,Angry,Anger,Anger_Hispanic_Female_21_Angry
5,face_005.jpg,30,Non-binary,Middle Eastern,Neutral,Neutral,Neutral_Middle_Eastern_Nonbinary_30_Neutral

This CSV provides a structured snapshot of the 'FacialRecognitionArchive' dataset, with each row representing an individual image's metadata and associated label. The 'label' column specifies the recognized emotion or identity-related attribute of the face in the image, which can be used to train classification models. The dataset's structure facilitates various analysis and modeling tasks, including emotion recognition, age and gender classification, and ethnicity detection, making it a valuable resource for research and development in the field of facial recognition.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'face':

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