Human Generated Data

Title

Untitled (two photographs: studio portrait of eleven young women wearing dresses and corsages; double portrait of baby girl (left) and young boy (right))

Date

1930-1945, printed later

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, 4.2002.10278

Human Generated Data

Title

Untitled (two photographs: studio portrait of eleven young women wearing dresses and corsages; double portrait of baby girl (left) and young boy (right))

People

Artist: Martin Schweig, American 20th century

Date

1930-1945, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10278

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Poster 99.8
Collage 99.8
Advertisement 99.8
Human 99.6
Person 99.6
Person 99.6
Person 99.4
Person 99
Person 98.6
Person 98.2
Person 98.1
Apparel 97.5
Clothing 97.5
Person 96.6
Person 93.4
Person 84.1
Female 82.1
Kid 81.8
Child 81.8
Woman 81.8
Girl 81.8
Blonde 81.8
Teen 81.8
Person 78.1
Face 77.9
Person 74.9
Dress 72.6
Hair 71.9
Overcoat 66.1
Suit 66.1
Coat 66.1
Portrait 64.2
Photography 64.2
Photo 64.2
Performer 60.6
Baby 60
Person 59.2
Hat 58.7
Leisure Activities 56.4
Smile 56.4

Clarifai
created on 2019-11-16

people 100
child 99.9
group 99.7
portrait 98.6
facial expression 98.3
adult 97.9
offspring 97.5
actress 97.3
two 97.3
wear 96.9
baby 96.2
outfit 96.1
son 95.9
woman 95.9
furniture 95.7
many 95.5
four 94.3
leader 94.1
one 93.9
group together 93.9

Imagga
created on 2019-11-16

kin 36.3
portrait 22
film 17.2
negative 17
person 16.4
black 16.3
people 15.6
hair 14.3
face 14.2
art 13.9
mug shot 13.3
happy 13.2
adult 13
dress 12.6
vintage 12.6
representation 12.5
man 12.1
money 11.9
photographic paper 11.8
decoration 11.8
happiness 11.7
currency 11.7
culture 11.1
love 11
smile 10.7
fashion 10.5
bride 10.5
photograph 10.5
sexy 10.4
banking 10.1
cash 10.1
male 9.9
pretty 9.8
old 9.7
look 9.6
brunette 9.6
couple 9.6
bill 9.5
eyes 9.5
closeup 9.4
makeup 9.1
business 9.1
attractive 9.1
creation 9.1
groom 9.1
mask 9
religion 9
one 9
romantic 8.9
family 8.9
masquerade 8.9
body 8.8
home 8.8
smiling 8.7
window 8.6
head 8.4
mother 8.4
wedding 8.3
style 8.2
lady 8.1
bank 8.1
photographic equipment 8
design 8
office 8
celebration 8
color 7.8
carnival 7.8
party 7.7
luxury 7.7
expression 7.7
disguise 7.7
card 7.6
world 7.6
house 7.5
human 7.5
dollar 7.4
detail 7.2
clothing 7.2
holiday 7.2
financial 7.1
women 7.1

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

person 98
clothing 97.8
baby 97.6
gallery 97.5
human face 96.9
smile 96.2
toddler 94.2
posing 88.6
room 80.1
scene 73.4
child 72
text 67.8
old 64.5
boy 55.5
image 40.2
picture frame 6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 18-30
Gender Female, 54.4%
Angry 45.2%
Surprised 45.2%
Sad 45.2%
Happy 53.4%
Calm 45.1%
Fear 45.7%
Confused 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-35
Gender Female, 54.9%
Angry 45%
Calm 45.2%
Surprised 45%
Confused 45%
Disgusted 45%
Happy 54.7%
Sad 45%
Fear 45%

AWS Rekognition

Age 0-3
Gender Female, 74.3%
Disgusted 0%
Happy 95.3%
Angry 0.1%
Fear 0.1%
Sad 3.9%
Surprised 0.1%
Confused 0.1%
Calm 0.5%

AWS Rekognition

Age 23-35
Gender Female, 54.9%
Disgusted 45.1%
Calm 45.5%
Confused 45.3%
Sad 45.1%
Happy 53.8%
Angry 45.1%
Fear 45.1%
Surprised 45.1%

AWS Rekognition

Age 22-34
Gender Female, 55%
Happy 45.1%
Disgusted 45.3%
Fear 46.3%
Calm 45.7%
Confused 45.3%
Sad 51.2%
Surprised 45.2%
Angry 46%

AWS Rekognition

Age 0-3
Gender Female, 73.6%
Sad 0.3%
Confused 0.1%
Fear 0.1%
Happy 97.6%
Surprised 0.7%
Angry 0.1%
Calm 1.2%
Disgusted 0%

AWS Rekognition

Age 32-48
Gender Female, 54.5%
Disgusted 45.3%
Happy 48.5%
Surprised 45.2%
Sad 46.6%
Fear 45.3%
Calm 48.4%
Angry 45.3%
Confused 45.5%

AWS Rekognition

Age 23-35
Gender Female, 54.9%
Surprised 45.1%
Confused 45.1%
Calm 52.6%
Happy 46.7%
Sad 45.1%
Angry 45.2%
Disgusted 45.1%
Fear 45.1%

AWS Rekognition

Age 20-32
Gender Female, 54.6%
Disgusted 45.1%
Sad 45.1%
Fear 45%
Angry 45.1%
Confused 45.1%
Happy 45.6%
Calm 54%
Surprised 45.1%

AWS Rekognition

Age 23-37
Gender Female, 54.9%
Confused 45.2%
Surprised 45.2%
Fear 45.2%
Happy 53.4%
Disgusted 45.2%
Angry 45.3%
Sad 45.2%
Calm 45.3%

AWS Rekognition

Age 24-38
Gender Female, 54.9%
Angry 45%
Happy 54.8%
Fear 45%
Disgusted 45%
Sad 45%
Calm 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 26-40
Gender Female, 54.9%
Angry 45.1%
Calm 54.7%
Confused 45.1%
Disgusted 45%
Surprised 45%
Happy 45.1%
Sad 45.1%
Fear 45%

AWS Rekognition

Age 23-35
Gender Female, 54.7%
Confused 45.1%
Surprised 45.1%
Sad 45.2%
Calm 54.3%
Disgusted 45%
Happy 45%
Fear 45%
Angry 45.2%

Microsoft Cognitive Services

Age 3
Gender Female

Microsoft Cognitive Services

Age 4
Gender Female

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

Feature analysis

Amazon

Person 99.6%

Categories