Human Generated Data

Title

A group of Lubavitch Jews listening to their Rabbi, Brooklyn, NY
Date

1954
People

Artist: Leonard Freed, American 1929 - 2006
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2021.549
Copyright

© Leonard Freed/Magnum Photos

Human Generated Data

Title

A group of Lubavitch Jews listening to their Rabbi, Brooklyn, NY

People

Artist: Leonard Freed, American 1929 - 2006

Date

1954

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Doug and Joan Hansen, 2021.549

Copyright

© Leonard Freed/Magnum Photos

Machine Generated Data

Tags

Amazon
created on 2023-01-20

Head 99.9
Face 99.8
People 99.6
Crowd 99.3
Clothing 98.8
Glasses 98.5
Accessories 98.5
Glasses 98.2
Hat 98.2
Glasses 98.2
Person 98.2
Man 98.2
Adult 98.2
Male 98.2
Man 98.1
Adult 98.1
Male 98.1
Person 98.1
Glasses 98.1
Glasses 98.1
Glasses 97.9
Glasses 97.8
Glasses 97.6
Glasses 97.4
Glasses 97.2
Person 97.2
Man 97.2
Adult 97.2
Male 97.2
Glasses 96.9
Glasses 96.8
Glasses 96.7
Glasses 96.2
Glasses 95.9
Glasses 95.9
Hat 95.9
Man 95.8
Adult 95.8
Male 95.8
Person 95.8
Person 95.7
Man 95.7
Adult 95.7
Male 95.7
Glasses 95.6
Hat 95.5
Hat 95.5
Glasses 95.5
Glasses 95.5
Hat 95.3
Glasses 95.2
Person 95.2
Man 95.2
Adult 95.2
Male 95.2
Person 95
Man 95
Adult 95
Male 95
Man 95
Adult 95
Male 95
Person 95
Glasses 95
Glasses 94.9
Hat 94.7
Glasses 94.6
Hat 94.5
Hat 94.3
Glasses 94.2
Hat 94
Man 94
Adult 94
Male 94
Person 94
Person 93.5
Glasses 93.3
Glasses 93.3
Glasses 92.7
Person 92.6
Glasses 92.5
Glasses 92.3
Glasses 92.1
Glasses 91.9
Person 91.3
Person 90.8
Hat 90.7
Person 90.2
Person 90.1
Glasses 90
Glasses 89.9
Person 89.8
Hat 89.6
Person 89.6
Person 89.5
Person 89.5
Glasses 89.3
Hat 89.2
Person 88.8
Person 88.4
Person 88.3
Person 88.2
Hat 88
Hat 87.8
Person 87.7
Person 87.7
Glasses 87.4
Person 87.3
Hat 87.3
Person 87.3
Person 86.5
Glasses 86.2
Glasses 85.6
Hat 85.6
Glasses 85.5
Glasses 85.4
Person 85.3
Person 85.2
Audience 85.1
Person 84.6
Hat 84.6
Hat 83.9
Person 83.7
Person 83.5
Glasses 83.2
Man 82.5
Adult 82.5
Male 82.5
Person 82.5
Hat 82.5
Person 82.4
Hat 82.1
Hat 82.1
Hat 80.9
Hat 80.7
Person 80.4
Hat 80.2
Glasses 79.9
Glasses 79.4
Hat 79.2
Glasses 79
Person 78.5
Person 76.2
Person 75.3
Person 75
Person 74
Glasses 73.3
Hat 70.5
Hat 69.2
Hat 68.6
Wristwatch 67.9
Hat 66.7
Hat 65.9
Glasses 65.6
Person 63
Hat 59.2
Tie 58.8
Formal Wear 58.8
Cap 56.8
Baseball Cap 55.5
Finger 55.3
Hand 55.3
Body Part 55.3

Clarifai
created on 2023-10-13

people 100
many 99.9
group 99.9
adult 99.7
portrait 99.3
group together 99.1
woman 98.4
man 97.1
crowd 96.4
veil 95.7
outfit 92.8
administration 92.1
uniform 90.9
leader 90.9
military 90.6
wear 87.1
audience 85.3
war 84.4
victory 84.2
lid 84.1

Imagga
created on 2023-01-20

mortarboard 44.6
person 38.2
clothing 37.2
cap 36.7
man 34.9
people 31.2
male 29.8
adult 27.8
headdress 26.1
businessman 23.8
business 23.1
group 22.5
black 22.5
men 21.4
student 18.4
consumer goods 18.2
covering 18.1
gown 17.5
corporate 16.3
uniform 16.3
military uniform 16.2
portrait 15.5
success 15.3
suit 14.7
professional 14.4
team 14.3
face 14.2
executive 13.8
enrollee 13.7
academic gown 13.5
couple 13
smiling 13
lifestyle 12.3
together 12.2
smile 12.1
happy 11.9
worker 11.6
happiness 11
confident 10.9
silhouette 10.7
formal 10.5
office 10.4
businesspeople 10.4
standing 10.4
looking 10.4
work 10.2
teamwork 10.2
player 10.1
businesswoman 10
holding 9.9
hand 9.9
attractive 9.8
job 9.7
fun 9.7
colleagues 9.7
staff 9.6
color 9.4
youth 9.4
20s 9.2
indoor 9.1
pretty 9.1
human 9
women 8.7
hands 8.7
love 8.7
30s 8.6
expression 8.5
athlete 8.5
communication 8.4
manager 8.4
event 8.3
fashion 8.3
successful 8.2
one 8.2
outerwear 8.1
posing 8
hair 7.9
businessmen 7.8
40s 7.8
hat 7.8
employee 7.7
modern 7.7
elegant 7.7
tie 7.6
career 7.6
meeting 7.5
horizontal 7.5
buddy 7.5
style 7.4
camera 7.4
celebration 7.2
handsome 7.1
spectator 7.1
indoors 7

Google
created on 2023-01-20

Photograph 94.3
Collar 84
Headgear 81
Crew 77.8
Suit 77.1
Snapshot 74.3
Team 73.8
Event 71
Uniform 64.1
Font 61.8
Monochrome 61.6
Formal wear 60.9
Pattern 53.5
Photography 52
Crowd 51

Microsoft
created on 2023-01-20

posing 98.8
clothing 98.7
person 97.9
human face 94.7
man 93.1
outdoor 86.7
text 80.6
group 76.2
baseball 69.2
crew 68.8
team 65
uniform 63.2
male 15.4
crowd 13.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 42-50
Gender Male, 99.9%
Sad 99.9%
Calm 23.1%
Surprised 6.4%
Fear 6.2%
Confused 1%
Disgusted 0.5%
Angry 0.3%
Happy 0.1%

AWS Rekognition

Age 23-31
Gender Male, 100%
Calm 92.7%
Surprised 7.4%
Fear 6.1%
Sad 2.2%
Confused 2.2%
Angry 1.5%
Disgusted 0.5%
Happy 0.2%

AWS Rekognition

Age 25-35
Gender Male, 99.1%
Calm 52%
Surprised 30.5%
Sad 10.4%
Fear 6.8%
Angry 5.8%
Confused 4.4%
Disgusted 1.4%
Happy 0.5%

AWS Rekognition

Age 18-26
Gender Male, 100%
Calm 68.2%
Surprised 12.2%
Confused 11.7%
Fear 7.2%
Sad 4.1%
Angry 1.7%
Disgusted 1.3%
Happy 0.5%

AWS Rekognition

Age 24-34
Gender Male, 100%
Calm 87.9%
Surprised 8.1%
Fear 6.3%
Confused 4%
Sad 2.4%
Angry 1.6%
Happy 0.6%
Disgusted 0.6%

AWS Rekognition

Age 23-31
Gender Male, 100%
Calm 63.8%
Surprised 17.3%
Confused 10.9%
Fear 9.2%
Sad 2.7%
Angry 1.5%
Disgusted 0.9%
Happy 0.7%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Surprised 66.3%
Confused 42.6%
Fear 6.9%
Calm 6.4%
Angry 3.6%
Disgusted 2.9%
Sad 2.8%
Happy 0.7%

AWS Rekognition

Age 30-40
Gender Male, 97.3%
Calm 45.8%
Confused 18.8%
Sad 12.9%
Surprised 8.9%
Angry 8.2%
Fear 8%
Disgusted 3%
Happy 1.4%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Calm 67.1%
Sad 16.2%
Surprised 9.3%
Fear 8.1%
Confused 3.2%
Angry 2.6%
Disgusted 1.2%
Happy 0.4%

AWS Rekognition

Age 21-29
Gender Male, 100%
Calm 67.8%
Surprised 13.6%
Confused 9.6%
Fear 9%
Sad 2.5%
Angry 2%
Disgusted 1.4%
Happy 1.1%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 73.5%
Surprised 18.1%
Fear 7.9%
Confused 4.2%
Sad 2.6%
Disgusted 1.3%
Angry 0.6%
Happy 0.5%

AWS Rekognition

Age 18-26
Gender Male, 89%
Happy 37.2%
Angry 25.5%
Surprised 12.2%
Fear 11.8%
Confused 8.3%
Calm 3.3%
Sad 3.2%
Disgusted 3.1%

AWS Rekognition

Age 24-34
Gender Male, 100%
Calm 65.5%
Confused 11.1%
Sad 8.1%
Surprised 7.8%
Fear 6.8%
Angry 5.9%
Disgusted 1.8%
Happy 0.8%

AWS Rekognition

Age 19-27
Gender Male, 100%
Calm 73.6%
Confused 24%
Surprised 6.5%
Fear 6%
Sad 2.3%
Angry 0.6%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Male, 100%
Confused 82.8%
Calm 9.4%
Surprised 7.5%
Fear 6.4%
Sad 2.5%
Angry 1.4%
Disgusted 1.3%
Happy 0.4%

AWS Rekognition

Age 18-24
Gender Male, 99.7%
Fear 90.7%
Calm 21.6%
Surprised 6.4%
Sad 2.4%
Confused 0.9%
Angry 0.5%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 27-37
Gender Male, 100%
Surprised 56%
Fear 38.1%
Confused 14.9%
Calm 7.6%
Sad 4.7%
Disgusted 1.7%
Angry 1.2%
Happy 0.6%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 29.8%
Happy 21.1%
Angry 16.1%
Surprised 9.7%
Fear 8.5%
Confused 7.1%
Disgusted 7.1%
Sad 5.8%

AWS Rekognition

Age 26-36
Gender Male, 99.8%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0%
Angry 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 23-31
Gender Male, 100%
Calm 86.3%
Sad 8.4%
Surprised 6.8%
Fear 6.1%
Confused 1%
Angry 0.5%
Disgusted 0.4%
Happy 0.3%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Happy 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 25-35
Gender Male, 98.9%
Calm 35.5%
Confused 25.2%
Sad 18.1%
Angry 9.5%
Surprised 8.1%
Fear 7.7%
Disgusted 5.3%
Happy 0.6%

AWS Rekognition

Age 20-28
Gender Male, 100%
Calm 91.1%
Surprised 6.4%
Fear 5.9%
Sad 4.6%
Angry 1.4%
Confused 1.1%
Disgusted 0.2%
Happy 0.2%

AWS Rekognition

Age 16-22
Gender Male, 100%
Confused 54.5%
Calm 35.7%
Surprised 8.2%
Fear 6.2%
Sad 3.2%
Angry 1.2%
Disgusted 0.8%
Happy 0.7%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Confused 59.4%
Surprised 25.9%
Calm 9.1%
Fear 6.8%
Angry 4.8%
Sad 2.7%
Disgusted 2.1%
Happy 1.4%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Calm 90.5%
Surprised 6.8%
Fear 6%
Confused 5.6%
Sad 2.4%
Angry 0.9%
Disgusted 0.6%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Calm 62.1%
Confused 16.7%
Surprised 8.5%
Fear 7.9%
Sad 6%
Angry 2.3%
Disgusted 1.5%
Happy 1.2%

AWS Rekognition

Age 23-31
Gender Male, 100%
Calm 83.8%
Surprised 6.8%
Sad 6.4%
Fear 6%
Confused 5.2%
Angry 0.9%
Disgusted 0.6%
Happy 0.2%

AWS Rekognition

Age 23-31
Gender Male, 99.8%
Calm 94.1%
Surprised 6.4%
Fear 5.9%
Sad 3.5%
Confused 1.4%
Angry 0.2%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 19-27
Gender Male, 100%
Calm 97.5%
Surprised 7.1%
Fear 5.9%
Sad 2.3%
Confused 0.1%
Disgusted 0.1%
Angry 0.1%
Happy 0%

AWS Rekognition

Age 20-28
Gender Male, 99.9%
Calm 94.9%
Surprised 6.3%
Fear 5.9%
Confused 4.8%
Sad 2.2%
Angry 0.1%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 18-24
Gender Male, 100%
Calm 85.6%
Surprised 7.3%
Fear 7%
Confused 5.2%
Sad 2.8%
Disgusted 0.9%
Happy 0.9%
Angry 0.8%

AWS Rekognition

Age 39-47
Gender Male, 100%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.4%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 29-39
Gender Male, 100%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.3%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 99.8%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 35-43
Gender Male, 100%
Calm 92.8%
Fear 7%
Surprised 6.7%
Sad 2.4%
Confused 1.5%
Angry 0.6%
Disgusted 0.5%
Happy 0.3%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Happy 45.5%
Surprised 32.6%
Fear 10.3%
Angry 7.8%
Sad 5.4%
Confused 4.3%
Calm 2.2%
Disgusted 1.4%

AWS Rekognition

Age 35-43
Gender Male, 100%
Calm 93.5%
Surprised 8%
Fear 6.3%
Sad 2.2%
Confused 0.9%
Angry 0.5%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Confused 44.8%
Calm 34.5%
Angry 12.8%
Surprised 7.4%
Fear 6.1%
Sad 3.1%
Disgusted 1.8%
Happy 0.7%

AWS Rekognition

Age 20-28
Gender Female, 95.6%
Calm 74.5%
Sad 35.2%
Surprised 6.4%
Fear 6.2%
Angry 0.6%
Disgusted 0.5%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 9-17
Gender Female, 98.1%
Calm 78.3%
Surprised 25.8%
Fear 6%
Sad 2.3%
Disgusted 0.7%
Angry 0.5%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 46.5%
Confused 20.8%
Fear 11.9%
Angry 9.8%
Surprised 8.2%
Happy 4.2%
Sad 2.7%
Disgusted 2.2%

AWS Rekognition

Age 22-30
Gender Male, 100%
Confused 48.3%
Calm 37.5%
Surprised 7.1%
Fear 6.2%
Sad 4%
Angry 3.3%
Disgusted 2.3%
Happy 1.5%

AWS Rekognition

Age 23-31
Gender Male, 100%
Sad 99.9%
Calm 23.3%
Surprised 6.4%
Fear 6%
Happy 0.7%
Confused 0.6%
Disgusted 0.5%
Angry 0.5%

AWS Rekognition

Age 21-29
Gender Male, 99.6%
Happy 89.6%
Surprised 7.3%
Fear 6.2%
Sad 2.4%
Calm 2.1%
Angry 1.9%
Disgusted 1.3%
Confused 1.2%

AWS Rekognition

Age 19-27
Gender Male, 99.8%
Sad 99.4%
Calm 34.4%
Surprised 6.4%
Fear 6%
Angry 0.8%
Confused 0.8%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Female, 62%
Calm 79.3%
Angry 7.4%
Surprised 7.3%
Fear 6.1%
Sad 5.9%
Confused 2%
Disgusted 1.2%
Happy 0.2%

AWS Rekognition

Age 30-40
Gender Male, 100%
Sad 99.9%
Confused 22.6%
Surprised 6.3%
Fear 6%
Angry 1.8%
Calm 1.6%
Disgusted 0.4%
Happy 0.1%

AWS Rekognition

Age 35-43
Gender Male, 99.6%
Surprised 36.8%
Sad 26.1%
Calm 19.5%
Confused 16.9%
Angry 10%
Fear 7.7%
Disgusted 2.4%
Happy 2.2%

AWS Rekognition

Age 23-31
Gender Male, 89.8%
Sad 100%
Surprised 6.4%
Fear 6.4%
Calm 0.7%
Confused 0.4%
Disgusted 0.2%
Angry 0.1%
Happy 0.1%

AWS Rekognition

Age 20-28
Gender Male, 99.9%
Calm 54.3%
Surprised 33.1%
Fear 14.1%
Sad 3.1%
Disgusted 2.7%
Angry 1%
Confused 1%
Happy 0.7%

AWS Rekognition

Age 19-27
Gender Female, 72.4%
Surprised 42.3%
Calm 38.5%
Fear 11.6%
Disgusted 8.8%
Sad 4.7%
Angry 4.2%
Confused 2.6%
Happy 1.4%

AWS Rekognition

Age 21-29
Gender Male, 99.5%
Calm 86.8%
Angry 11.2%
Surprised 6.4%
Fear 6%
Sad 2.5%
Disgusted 0.2%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 23-33
Gender Male, 58.4%
Happy 52.6%
Calm 13.9%
Fear 12.9%
Surprised 8%
Sad 6%
Disgusted 5.3%
Confused 2.4%
Angry 2.4%

AWS Rekognition

Age 28-38
Gender Male, 100%
Calm 90%
Surprised 7.4%
Fear 6%
Sad 2.6%
Disgusted 2.3%
Confused 1.9%
Angry 1.7%
Happy 0.3%

AWS Rekognition

Age 31-41
Gender Male, 94.3%
Angry 59.9%
Disgusted 19.2%
Calm 10.1%
Surprised 7.2%
Fear 6.5%
Happy 3.2%
Sad 3.1%
Confused 1.6%

AWS Rekognition

Age 18-24
Gender Male, 99.8%
Calm 43.2%
Confused 22.7%
Sad 12.4%
Fear 8.7%
Surprised 7.5%
Angry 6.1%
Happy 4.2%
Disgusted 2.3%

AWS Rekognition

Age 23-33
Gender Male, 99%
Fear 96%
Surprised 10.3%
Sad 2.6%
Calm 1.5%
Angry 0.8%
Confused 0.7%
Happy 0.6%
Disgusted 0.3%

AWS Rekognition

Age 19-27
Gender Male, 99.5%
Surprised 58.4%
Calm 44.3%
Fear 11.1%
Sad 3.5%
Angry 2.5%
Confused 2.2%
Disgusted 1%
Happy 0.8%

AWS Rekognition

Age 25-35
Gender Male, 94.6%
Calm 98.7%
Surprised 6.8%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Disgusted 0.1%
Angry 0%
Happy 0%

AWS Rekognition

Age 21-29
Gender Male, 100%
Disgusted 34.1%
Calm 15.7%
Surprised 12.7%
Angry 11.5%
Fear 10.2%
Happy 9.1%
Sad 7.6%
Confused 2.3%

AWS Rekognition

Age 24-34
Gender Male, 89.5%
Calm 93.8%
Surprised 6.5%
Fear 5.9%
Sad 4.1%
Happy 0.3%
Confused 0.2%
Angry 0.2%
Disgusted 0.2%

AWS Rekognition

Age 13-21
Gender Male, 98.6%
Sad 72.6%
Surprised 27.2%
Calm 27.2%
Happy 7.6%
Fear 6.8%
Angry 4.3%
Disgusted 3.9%
Confused 1.1%

AWS Rekognition

Age 29-39
Gender Male, 100%
Calm 76.9%
Surprised 8.5%
Fear 6.5%
Sad 5.7%
Disgusted 5.2%
Confused 4%
Angry 0.8%
Happy 0.5%

AWS Rekognition

Age 20-28
Gender Female, 89.4%
Calm 84%
Sad 9%
Surprised 7.4%
Fear 6%
Confused 1.1%
Happy 0.8%
Angry 0.8%
Disgusted 0.3%

Microsoft Cognitive Services

Age 39
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 41
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 34
Gender Male

Microsoft Cognitive Services

Age 40
Gender Female

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 39
Gender Male

Microsoft Cognitive Services

Age 43
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 47
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 47
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 24
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 14
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Possible
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Possible
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Glasses 98.5%
Hat 98.2%
Person 98.2%
Man 98.2%
Adult 98.2%
Male 98.2%
Wristwatch 67.9%
Tie 58.8%