Human Generated Data

Title

Untitled (three photographs: bride posed with three bridesmaids and smiling at flower girl; bride adjusting father's tie by fireplace; bride facing Catholic altar as groom looks on)

Date

1963-1964, 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, 4.2002.12363

Human Generated Data

Title

Untitled (three photographs: bride posed with three bridesmaids and smiling at flower girl; bride adjusting father's tie by fireplace; bride facing Catholic altar as groom looks on)

People

Artist: Martin Schweig, American 20th century

Date

1963-1964, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12363

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Human 99.3
Person 99.3
Person 99
Person 98.5
Person 98.1
Person 97.8
Person 97.2
Furniture 92.5
Clothing 90.3
Apparel 90.3
Collage 73.1
Poster 73.1
Advertisement 73.1
Shelf 70.2
Table 68.4
Overcoat 66.2
Coat 66.2
Suit 57.7
Room 57.3
Indoors 57.3
Cupboard 56.2
Closet 56.2
Electronics 55.4
Screen 55.4

Clarifai
created on 2019-11-16

people 99.7
room 98.1
furniture 97.9
man 96.8
adult 96.5
group 96.2
indoors 95.9
group together 91.7
woman 91
wear 88.3
chair 87.1
mirror 85.8
many 84.9
monochrome 84.3
vehicle 82.6
one 82.4
stock 81.4
outfit 80.9
two 80.3
seat 79.8

Imagga
created on 2019-11-16

case 57.2
interior 22.1
house 19.2
home 17.5
light 16.7
window 15.9
furniture 15.6
kitchen 15.1
architecture 14.8
appliance 13.3
old 12.5
glass 12.4
metal 12.1
people 11.7
building 11.5
indoors 11.4
room 10.8
design 10.7
steel 10.6
shop 10.6
stove 10.5
modern 10.5
wall 10.3
television 10.1
man 10.1
vintage 9.9
antique 9.8
home appliance 9.6
black 9.6
ancient 9.5
equipment 9.3
table 9.3
decor 8.8
art 8.5
white goods 8.4
refrigerator 8.4
indoor 8.2
retro 8.2
barbershop 8
door 8
decoration 8
business 7.9
lamp 7.8
machine 7.8
male 7.8
stainless 7.7
grunge 7.7
wood 7.5
silhouette 7.4
inside 7.4
shelf 7.1
oven 7.1
travel 7

Microsoft
created on 2019-11-16

text 98.8
indoor 98
clothing 96.3
person 95.5
dress 80.5
wedding dress 80.2
woman 77.9
black and white 76.5
man 71.9
furniture 54.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-28
Gender Female, 54.8%
Fear 45.1%
Sad 45.1%
Confused 45.1%
Angry 45.1%
Happy 54.2%
Calm 45.1%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 2-8
Gender Female, 54.5%
Angry 45.1%
Surprised 45.2%
Sad 45%
Happy 46.6%
Calm 53%
Fear 45%
Confused 45.1%
Disgusted 45%

AWS Rekognition

Age 37-55
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%
Happy 49.5%
Sad 49.5%
Calm 49.5%
Surprised 50.3%
Fear 49.6%

AWS Rekognition

Age 11-21
Gender Female, 50.4%
Sad 50%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Fear 49.7%
Happy 49.6%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Fear 49.5%
Calm 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Sad 49.5%
Angry 49.5%

AWS Rekognition

Age 6-16
Gender Male, 53.9%
Surprised 45.5%
Angry 45.1%
Fear 45.4%
Calm 45.1%
Confused 45.1%
Sad 45.1%
Disgusted 45%
Happy 53.8%

AWS Rekognition

Age 18-30
Gender Male, 50.4%
Angry 49.5%
Happy 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Fear 49.5%
Sad 49.5%

AWS Rekognition

Age 14-26
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Fear 49.5%

AWS Rekognition

Age 13-25
Gender Male, 50.4%
Calm 49.5%
Sad 49.7%
Happy 49.5%
Angry 49.5%
Fear 49.7%
Confused 50%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.4%
Disgusted 49.5%
Sad 49.6%
Calm 50.4%
Fear 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 34-50
Gender Male, 50.5%
Fear 49.6%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Calm 50%
Confused 49.6%
Surprised 49.6%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.3%

Categories

Text analysis

Amazon

20303
2 2 303
210102

Google

e 3 03 2 3 3 3 03 2 e303
e
3
03
2
e303