Human Generated Data

Title

Untitled (group of students, priests, and nuns posed outside school)
Date

1948
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6552

Human Generated Data

Title

Untitled (group of students, priests, and nuns posed outside school)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1948

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6552

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Person 97.3
Human 97.3
Person 94.9
Person 93.3
Clothing 91.5
Apparel 91.5
Furniture 91.3
Chair 91.3
Person 86.8
Person 86.8
Person 85.4
Person 85
Person 84.4
Person 83.4
Face 82.5
Person 81.6
People 81.3
Person 78.3
Crowd 71.1
Person 69.8
Person 68
Indoors 67.5
Child 67.2
Kid 67.2
Person 66.2
Person 64.9
Dress 64.6
Person 62.1
Room 61.2
Kindergarten 60.6
School 60.2
Couch 59.5
Text 58.4
Classroom 57.8
Table 55.8
Suit 55.4
Coat 55.4
Overcoat 55.4
Person 42

Clarifai
created on 2019-03-25

people 99.8
man 97.1
group 96.4
many 95.9
group together 95.7
child 95.5
crowd 95.4
adult 95.2
woman 94.7
monochrome 90.2
veil 83.2
music 82.6
boy 80.3
education 78.6
leader 76.3
administration 74.8
ceremony 74.8
wedding 72.9
wear 72.3
recreation 70.2

Imagga
created on 2019-03-25

shoe shop 74
shop 62.6
mercantile establishment 45.9
place of business 30.6
glass 23.9
surface 18.5
shoe 17.2
art 16.9
colors 16.7
pattern 16.4
rough 16.4
shoes 16.3
establishment 16.3
retro 15.6
figures 15.4
seamless 15.2
contemporary 15
flowers 14.8
modern 14.7
squares 14.6
flower 14.6
texture 14.6
floral 14.4
black 13.8
progressive 13.8
fashion 13.6
visual 13.5
lines 13.5
circles 13.4
diagram 13.4
unique 13.3
conceptual 13.2
plants 13
grain 12.9
graphic 12.4
vibrant 12.2
wallpaper 12.2
colorful 12.2
plant 11.9
footwear 11.7
pair 11.3
design 10.7
leather 10.4
decoration 10.4
clothing 10.3
fresh 9.8
group 9.7
foot 9.5
wine 9.3
glasses 9.2
sport 9.1
old 9
container 9
new 8.9
industry 8.5
business 8.5
set 8.5
collection 8.1
pawn 8
celebration 8
case 7.9
man 7.8
male 7.8
party 7.7
lace 7.5

Google
created on 2019-03-25

Photograph 96.8
Social group 92.4
Team 87
Snapshot 83.3
Black-and-white 74.4
Photography 67.8
Room 65.7
Monochrome 64.3
Stock photography 62.1
History 54.1
Style 51
Crowd 50.7

Microsoft
created on 2019-03-25

building 99
outdoor 89.8
school 89.8
sport 46
person 22.9
group 12
ballet 9.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 53.4%
Confused 45.5%
Calm 45.7%
Happy 45.9%
Disgusted 45.2%
Surprised 45.4%
Sad 51.5%
Angry 45.9%

AWS Rekognition

Age 23-38
Gender Female, 54.1%
Sad 49.7%
Angry 45.5%
Surprised 45.3%
Happy 45.2%
Calm 48.3%
Confused 45.8%
Disgusted 45.3%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Confused 49.7%
Happy 49.5%
Angry 49.7%
Disgusted 49.6%
Sad 49.8%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.8%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.5%
Calm 50%
Happy 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.9%
Sad 49.6%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Disgusted 49.5%
Angry 49.5%
Sad 50.2%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 10-15
Gender Female, 53.6%
Disgusted 45%
Surprised 45.1%
Confused 45.1%
Angry 46%
Sad 53.1%
Calm 45.6%
Happy 45.1%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Calm 45.2%
Happy 45.9%
Sad 50.1%
Angry 45.6%
Disgusted 47.5%
Confused 45.4%
Surprised 45.4%

AWS Rekognition

Age 38-59
Gender Female, 51.7%
Angry 45.1%
Calm 45.4%
Happy 53.9%
Surprised 45.2%
Sad 45.2%
Disgusted 45%
Confused 45.1%

AWS Rekognition

Age 45-66
Gender Female, 50.2%
Sad 50.4%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.6%
Sad 49.7%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%
Sad 50.2%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 47.6%
Disgusted 45.1%
Happy 45.1%
Calm 51.4%
Angry 45.3%
Confused 45.3%
Surprised 45.2%

AWS Rekognition

Age 35-55
Gender Female, 50.8%
Calm 49.9%
Happy 45.3%
Sad 46.2%
Angry 47.2%
Disgusted 45.6%
Confused 45.4%
Surprised 45.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Sad 50%
Confused 49.5%
Happy 49.7%
Angry 49.6%
Calm 49.7%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.2%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 52.8%
Sad 51.4%
Confused 45.1%
Angry 45.4%
Surprised 45.3%
Calm 47%
Disgusted 45.2%
Happy 45.4%

AWS Rekognition

Age 35-52
Gender Male, 53.3%
Confused 45.6%
Calm 47.5%
Happy 47.5%
Disgusted 45.4%
Surprised 45.8%
Sad 46.2%
Angry 47%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Happy 49.7%
Angry 49.8%
Disgusted 49.5%
Sad 49.8%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Disgusted 49.6%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Angry 49.6%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 9-14
Gender Female, 52.7%
Calm 46.8%
Sad 48.2%
Disgusted 45.6%
Happy 45.8%
Confused 46.5%
Angry 46.1%
Surprised 45.9%

AWS Rekognition

Age 23-38
Gender Female, 54%
Surprised 45.6%
Angry 46.1%
Disgusted 46%
Happy 45.2%
Sad 49.2%
Confused 45.8%
Calm 47.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.5%
Calm 50.2%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 60-90
Gender Female, 51.7%
Happy 45.1%
Confused 45.1%
Sad 54.3%
Calm 45.2%
Surprised 45.1%
Angry 45.1%
Disgusted 45.1%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Surprised 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Happy 49.6%
Confused 49.6%
Sad 49.6%
Calm 49.9%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.6%
Happy 46.6%
Disgusted 45.5%
Calm 48.7%
Sad 46.9%
Surprised 46%
Confused 45.6%
Angry 45.6%

AWS Rekognition

Age 45-66
Gender Female, 52.5%
Calm 45.1%
Surprised 45.1%
Confused 45.2%
Sad 54.2%
Angry 45.2%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Calm 49.6%
Surprised 49.6%
Confused 49.5%
Sad 49.6%
Angry 49.6%
Happy 50.1%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Surprised 49.5%
Angry 49.6%
Sad 49.7%
Confused 49.5%
Calm 49.9%
Happy 49.5%
Disgusted 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Happy 49.5%
Calm 49.7%
Confused 49.6%
Sad 50%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 57-77
Gender Female, 50.4%
Happy 45.5%
Surprised 45.2%
Disgusted 45.3%
Calm 45.2%
Sad 53.1%
Confused 45.4%
Angry 45.4%

Feature analysis

Amazon

Person 97.3%

Categories

Imagga

interior objects 47.7%
streetview architecture 40.3%
paintings art 9.3%

Text analysis

Amazon

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