Human Generated Data

Title

Untitled (wedding party)
Date

1940s
People

Artist: Martin Schweig, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.858

Human Generated Data

Title

Untitled (wedding party)

People

Artist: Martin Schweig, American 20th century

Date

1940s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.858

Machine Generated Data

Tags

Amazon
created on 2022-01-08

Person 99.5
Human 99.5
Clothing 99.3
Apparel 99.3
Person 99.2
Person 99.1
Person 98.7
Person 98.5
Person 98.5
Person 98.1
Person 97.3
Person 96.2
Person 96.2
Person 95.9
Tie 94.5
Accessories 94.5
Accessory 94.5
People 92.8
Person 91.1
Tie 90.2
Person 89.1
Person 88.3
Person 86.9
Gown 86.2
Fashion 86.2
Robe 85.5
Female 81.2
Wedding 79.2
Wedding Gown 77.2
Wedding Gown 73.1
Wedding Gown 70.8
Family 70.3
Girl 66.9
Suit 66.8
Coat 66.8
Overcoat 66.8
Evening Dress 63.4
Person 43.6

Clarifai
created on 2023-10-25

people 100
group 99.8
portrait 97.9
wedding 97.7
group together 97.2
wear 96.3
adult 95.8
dress 95.7
three 94.8
man 94.5
child 94.1
bridesmaid 93.9
woman 93.5
four 92.3
family 92.1
bride 91.9
groom 89.5
many 89.1
several 89.1
veil 88.5

Imagga
created on 2022-01-08

skirt 68.1
dress 66
bride 65.4
wedding 57.9
groom 51
garment 48.5
clothing 41
love 37.9
marriage 37
married 33.6
kin 32.8
happiness 31.3
bouquet 31.1
fashion 30.9
people 29.6
happy 28.8
gown 28.3
portrait 27.2
couple 26.1
person 25.5
adult 25.3
attractive 24.5
model 24.1
veil 23.5
flowers 23.5
bridal 22.4
human 21.7
ceremony 21.3
posing 21.3
celebration 20.7
hair 20.6
cheerful 20.3
pretty 19.6
wife 19
cute 18.7
smile 18.5
face 17.8
elegance 17.6
covering 17.1
flower 16.9
day 16.5
sensuality 16.3
consumer goods 16.2
studio 16
wed 15.7
engagement 15.4
hand 15.2
women 15
style 14.1
clothes 13.1
one 12.7
pose 12.7
romance 12.5
smiling 12.3
lady 12.2
sexy 12
fun 12
two 11.9
outfit 11.8
joy 11.7
romantic 11.6
outdoor 11.5
holiday 11.5
together 11.4
summer 10.9
gorgeous 10.9
matrimony 10.8
man 10.8
event 10.2
long 10.1
make 10
commitment 9.8
outdoors 9.7
husband 9.6
elegant 9.4
lifestyle 9.4
feminine 9.3
costume 9.2
holding 9.1
family 8.9
standing 8.7
seductive 8.6
party 8.6
luxury 8.6
male 8.5
child 8.5
church 8.3
nice 8.2
blond 8.1
angel 7.8
dream 7.6
ring 7.6
free 7.5
20s 7.3
childhood 7.2
grass 7.1
newlywed 7.1
interior 7.1

Google
created on 2022-01-08

Clothing 98.7
Dress 92.8
Fashion 89.3
One-piece garment 88.4
Sleeve 87.1
Plant 82.6
Headgear 80.9
Wedding dress 78.7
Vintage clothing 76.6
Formal wear 75.6
Beauty 74.9
Suit 74.7
Happy 74.7
Classic 74
Event 73.9
Pattern 73.8
Day dress 73
Curtain 69.6
Bridal party dress 67.7
Headpiece 63.8

Microsoft
created on 2022-01-08

person 99.2
dress 99
posing 98.7
wedding dress 97.8
bride 95.2
woman 89
old 88.6
group 87.9
clothing 86.9
wedding 86.1
flower 76
sport 71.3
player 63.7
text 62.9
team 62.5
gown 61.5
dancer 52.8
bridal party dress 51.8
clothes 27.7
dressed 26.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 22-30
Gender Female, 100%
Happy 98.4%
Surprised 0.6%
Angry 0.4%
Disgusted 0.2%
Fear 0.1%
Confused 0.1%
Sad 0.1%
Calm 0.1%

AWS Rekognition

Age 31-41
Gender Male, 100%
Calm 93.8%
Surprised 1.2%
Angry 1.1%
Confused 1.1%
Happy 0.9%
Fear 0.9%
Sad 0.7%
Disgusted 0.4%

AWS Rekognition

Age 20-28
Gender Male, 100%
Happy 98.3%
Angry 0.6%
Surprised 0.5%
Fear 0.1%
Calm 0.1%
Confused 0.1%
Disgusted 0.1%
Sad 0.1%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 97.4%
Happy 2%
Confused 0.2%
Surprised 0.1%
Angry 0.1%
Sad 0.1%
Disgusted 0.1%
Fear 0%

AWS Rekognition

Age 7-17
Gender Female, 100%
Calm 99.3%
Happy 0.3%
Confused 0.1%
Angry 0.1%
Disgusted 0.1%
Sad 0.1%
Surprised 0%
Fear 0%

AWS Rekognition

Age 10-18
Gender Female, 99.7%
Calm 93.7%
Happy 3.9%
Confused 0.7%
Surprised 0.6%
Angry 0.4%
Fear 0.4%
Sad 0.2%
Disgusted 0.2%

AWS Rekognition

Age 6-14
Gender Female, 100%
Happy 99.6%
Surprised 0.1%
Fear 0.1%
Angry 0.1%
Sad 0%
Calm 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 18-24
Gender Male, 99.9%
Calm 95.2%
Angry 1.5%
Happy 1.2%
Surprised 0.7%
Fear 0.5%
Sad 0.4%
Confused 0.4%
Disgusted 0.1%

AWS Rekognition

Age 20-28
Gender Female, 99.9%
Calm 91.7%
Happy 5.4%
Confused 0.8%
Surprised 0.7%
Angry 0.4%
Disgusted 0.3%
Sad 0.3%
Fear 0.3%

AWS Rekognition

Age 25-35
Gender Female, 100%
Calm 99.2%
Happy 0.3%
Surprised 0.2%
Confused 0.1%
Fear 0.1%
Angry 0.1%
Disgusted 0%
Sad 0%

AWS Rekognition

Age 25-35
Gender Male, 100%
Happy 96.4%
Calm 2.3%
Surprised 0.3%
Angry 0.3%
Confused 0.2%
Disgusted 0.2%
Sad 0.1%
Fear 0.1%

AWS Rekognition

Age 2-8
Gender Female, 84%
Angry 96.8%
Calm 2.6%
Sad 0.1%
Surprised 0.1%
Fear 0.1%
Disgusted 0.1%
Confused 0.1%
Happy 0%

AWS Rekognition

Age 20-28
Gender Female, 100%
Happy 98.9%
Surprised 0.3%
Calm 0.2%
Angry 0.2%
Confused 0.2%
Disgusted 0.2%
Fear 0.1%
Sad 0.1%

AWS Rekognition

Age 23-33
Gender Female, 100%
Calm 99.9%
Surprised 0%
Happy 0%
Confused 0%
Angry 0%
Sad 0%
Fear 0%
Disgusted 0%

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 38
Gender Male

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 37
Gender Female

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 41
Gender Female

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.5%
Tie 94.5%
Wedding Gown 77.2%
Suit 66.8%

Categories

Imagga

people portraits 87.6%
paintings art 10.8%

Text analysis

Amazon

LOUIS
SAINT LOUIS
MARTIN
MARTIN SCHWEIG
SCHWEIG
SAINT

Google

MARTIN SCHWEIG SAINT LOUIS
MARTIN
SCHWEIG
SAINT
LOUIS