idx
int64 0
99
| file_name
stringlengths 12
38
| age
int64 20
43
| gender
stringclasses 3
values | ethnicity
stringclasses 5
values | expression
stringclasses 18
values | emotion
stringclasses 5
values | label
stringlengths 23
48
|
---|---|---|---|---|---|---|---|
0 |
face_001.jpg
| 28 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_28_Happy
|
1 |
face_002.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
2 |
face_003.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
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
|
Smiling
|
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
|
Angry
|
Anger
|
Anger_Hispanic_Female_29_Angry
|
9 |
face_006.jpg
| 29 |
Non-binary
|
Middle Eastern
|
Smiling
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_29_Smiling
|
10 |
face_051.jpg
| 29 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_29_Happy
|
11 |
face_006.jpg
| 29 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_29_Sad
|
12 |
face_010.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
13 |
face_006.jpg
| 22 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_22_Angry
|
14 |
face_010.jpg
| 29 |
Non-binary
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_29_Calm
|
15 |
laughing_face_28_asian_male.jpg
| 28 |
Male
|
Asian
|
Laughing
|
Joy
|
Joy_Asian_Male_28_Happy
|
16 |
face_007.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
17 |
face_002.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
18 |
face_007.jpg
| 22 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_22_Angry
|
19 |
face_007.jpg
| 33 |
Non-binary
|
Middle Eastern
|
Worried
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_33_Worried
|
20 |
face_052.jpg
| 27 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_27_Happy
|
21 |
face_007.jpg
| 36 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_36_Sad
|
22 |
face_011.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
23 |
face_007.jpg
| 33 |
Male
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Male_33_Angry
|
24 |
face_011.jpg
| 34 |
Female
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Female_34_Calm
|
25 |
cheerful_asian_28_male.jpg
| 28 |
Male
|
Asian
|
Cheerful
|
Joy
|
Joy_Asian_Male_28_Happy
|
26 |
face_008.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
27 |
face_003.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
28 |
face_008.jpg
| 27 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_27_Angry
|
29 |
face_008.jpg
| 36 |
Non-binary
|
Middle Eastern
|
Surprised
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_36_Surprised
|
30 |
face_053.jpg
| 30 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_30_Happy
|
31 |
face_008.jpg
| 34 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_34_Sad
|
32 |
face_012.jpg
| 43 |
Male
|
African
|
Surprised
|
Surprise
|
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
|
Angry
|
Anger
|
Anger_Hispanic_Female_23_Angry
|
39 |
face_009.jpg
| 31 |
Non-binary
|
Middle Eastern
|
Fearful
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_31_Fearful
|
40 |
face_054.jpg
| 32 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_32_Happy
|
41 |
face_009.jpg
| 33 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_33_Sad
|
42 |
face_013.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
43 |
face_009.jpg
| 29 |
Non-binary
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Nonbinary_29_Angry
|
44 |
face_013.jpg
| 28 |
Non-binary
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_28_Calm
|
45 |
happy_asian_28_guy.jpg
| 28 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_28_Happy
|
46 |
face_010.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
47 |
face_005.jpg
| 30 |
Non-binary
|
Middle Eastern
|
Neutral
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_30_Neutral
|
48 |
face_010.jpg
| 24 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_24_Angry
|
49 |
face_010.jpg
| 27 |
Non-binary
|
Middle Eastern
|
Disgusted
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_27_Disgusted
|
50 |
face_055.jpg
| 28 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_28_Happy
|
51 |
face_010.jpg
| 37 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_37_Sad
|
52 |
face_014.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
53 |
face_010.jpg
| 27 |
Male
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Male_27_Angry
|
54 |
face_014.jpg
| 36 |
Female
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Female_36_Calm
|
55 |
joy_in_28_asian_male_face.jpg
| 28 |
Male
|
Asian
|
Joyful
|
Joy
|
Joy_Asian_Male_28_Happy
|
56 |
face_011.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
57 |
face_006.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
58 |
face_011.jpg
| 20 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_20_Angry
|
59 |
face_011.jpg
| 39 |
Non-binary
|
Middle Eastern
|
Amused
|
Neutral
|
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
|
Surprised
|
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
|
Neutral
|
Neutral_Middle_Eastern_Male_22_Calm
|
65 |
28_year_old_asian_man_smiling.jpg
| 28 |
Male
|
Asian
|
Smiling
|
Joy
|
Joy_Asian_Male_28_Happy
|
66 |
face_012.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
67 |
face_007.jpg
| 28 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_28_Happy
|
68 |
face_012.jpg
| 26 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_26_Angry
|
69 |
face_012.jpg
| 32 |
Non-binary
|
Middle Eastern
|
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
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_38_Sad
|
72 |
face_016.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
73 |
face_012.jpg
| 20 |
Male
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Male_20_Angry
|
74 |
face_016.jpg
| 25 |
Non-binary
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_25_Calm
|
75 |
blissful_asian_man_28_years.jpg
| 28 |
Male
|
Asian
|
Blissful
|
Joy
|
Joy_Asian_Male_28_Happy
|
76 |
face_013.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
77 |
face_008.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
78 |
face_013.jpg
| 28 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_28_Angry
|
79 |
face_013.jpg
| 26 |
Non-binary
|
Middle Eastern
|
Contemptuous
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_26_Contemptuous
|
80 |
face_058.jpg
| 29 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_29_Happy
|
81 |
face_013.jpg
| 32 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_32_Sad
|
82 |
face_017.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
83 |
face_013.jpg
| 31 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_31_Angry
|
84 |
face_017.jpg
| 30 |
Female
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Female_30_Calm
|
85 |
joyful_asian_man_28_years.jpg
| 28 |
Male
|
Asian
|
Joyful
|
Joy
|
Joy_Asian_Male_28_Happy
|
86 |
face_014.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
87 |
face_009.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
88 |
face_014.jpg
| 25 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_25_Angry
|
89 |
face_014.jpg
| 37 |
Non-binary
|
Middle Eastern
|
Confused
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_37_Confused
|
90 |
face_059.jpg
| 34 |
Male
|
Asian
|
Happy
|
Joy
|
Joy_Asian_Male_34_Happy
|
91 |
face_014.jpg
| 28 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_28_Sad
|
92 |
face_018.jpg
| 42 |
Male
|
African
|
Surprised
|
Surprise
|
Surprise_African_Male_42_Surprised
|
93 |
face_014.jpg
| 24 |
Non-binary
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Nonbinary_24_Angry
|
94 |
face_018.jpg
| 27 |
Male
|
Middle Eastern
|
Calm
|
Neutral
|
Neutral_Middle_Eastern_Male_27_Calm
|
95 |
28_year_old_asian_guy_smiling_face.jpg
| 28 |
Male
|
Asian
|
Smiling
|
Joy
|
Joy_Asian_Male_28_Happy
|
96 |
face_015.jpg
| 35 |
Female
|
Caucasian
|
Sad
|
Sadness
|
Sadness_Caucasian_Female_35_Sad
|
97 |
face_010.jpg
| 21 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_21_Angry
|
98 |
face_015.jpg
| 21 |
Female
|
Hispanic
|
Angry
|
Anger
|
Anger_Hispanic_Female_21_Angry
|
99 |
face_015.jpg
| 30 |
Non-binary
|
Middle Eastern
|
Angry
|
Neutral
|
Neutral_Middle_Eastern_Nonbinary_30_Angry
|
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':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=face&dataset=FacialRecognitionArchive&tags=classification,+identity+verification,+biometric
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub
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