Human Generated Data

Title

Untitled (overhead view of archbishop and clergymen leading prayers outdoors)
Date

1960
People

Artist: Claseman Studio, 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, 4.2002.11018

Human Generated Data

Title

Untitled (overhead view of archbishop and clergymen leading prayers outdoors)

People

Artist: Claseman Studio, American 20th century

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11018

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99.1
Person 99.1
Person 96.3
Person 95.7
Person 92.3
Person 91.1
Crowd 87.5
Person 87.2
Person 83.5
Person 80.7
Person 80.1
Person 78.1
People 76.8
Indoors 71.6
Interior Design 71.6
Person 68.1
Person 63.1
Person 62.5
Person 60.2
Audience 57
Restaurant 56.7
Cafeteria 56.7
Person 56.2
Bazaar 55.8
Market 55.8
Shop 55.8
Person 55.6
Person 44.9
Person 43.3

Clarifai
created on 2019-03-25

people 99.9
many 99.9
group together 99.7
group 99.1
adult 98.9
crowd 98.1
man 95.6
leader 94.4
vehicle 93.7
administration 92.6
spectator 92.1
wear 91.1
war 89
woman 88.5
military 87.6
transportation system 85.2
outfit 84.1
audience 80.1
one 77.5
street 70.3

Imagga
created on 2019-03-25

city 31.6
building 22.9
architecture 21.1
urban 17.5
old 16.7
cityscape 16.1
spectator 15.5
structure 15.4
pattern 15
newspaper 15
travel 14.8
design 14.6
buildings 14.2
texture 13.9
people 13.4
business 13.4
skyline 12.3
jigsaw puzzle 12.3
scene 12.1
art 11.9
aerial 11.6
tourism 11.5
downtown 11.5
product 11.5
wallpaper 11.5
surface 11.5
black 11.4
landscape 11.1
town 11.1
grunge 11.1
rough 10.9
sky 10.8
puzzle 10.8
retro 10.6
modern 10.5
panorama 10.5
creation 10.2
water 10
diagram 9.6
ancient 9.5
graphic 8.7
wall 8.7
hall 8.6
famous 8.4
street 8.3
plant 8.2
office 8.1
lines 8.1
tourist 7.9
creative 7.9
center 7.9
crowd 7.7
game 7.6
unique 7.6
vintage 7.6
contemporary 7.5
park 7.4
grain 7.4
light 7.3
new 7.3
landmark 7.2
history 7.1
blackboard 7.1
river 7.1
businessman 7.1
conceptual 7

Google
created on 2019-03-25

Photograph 96.6
Snapshot 86.6
Stock photography 75.5
Photography 74.8
History 67.6
Crowd 66.3
Black-and-white 56.4
World 53.1
Team 52.3

Microsoft
created on 2019-03-25

black 76.5
white 75.6
people 71.1
posing 41.6
crowd 26.1
person 26.1
black and white 18.4
assembly 7.9
school 6.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Calm 49.7%
Sad 50%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Confused 49.7%

AWS Rekognition

Age 27-44
Gender Female, 50%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Calm 50%
Surprised 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Confused 49.5%
Calm 49.6%
Happy 49.7%
Disgusted 49.8%
Surprised 49.7%
Sad 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.6%
Calm 49.7%
Happy 49.5%
Sad 50.1%

AWS Rekognition

Age 38-59
Gender Female, 50.3%
Disgusted 50.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Sad 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Sad 49.7%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Calm 50.1%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.5%
Angry 49.8%
Sad 49.6%
Confused 49.5%
Disgusted 49.8%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Angry 49.6%
Surprised 49.5%
Sad 49.8%
Calm 49.6%
Confused 49.7%
Happy 49.5%
Disgusted 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Happy 49.5%
Confused 49.6%
Disgusted 49.5%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 26-44
Gender Female, 50%
Disgusted 49.5%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Sad 50%
Calm 49.7%
Happy 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Happy 49.5%
Calm 49.5%
Sad 50.3%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.6%
Confused 49.5%
Angry 50%
Surprised 49.6%
Calm 49.6%
Disgusted 49.7%
Happy 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 50.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Angry 49.7%
Disgusted 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.5%
Calm 49.8%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 46.1%
Confused 45.4%
Angry 46.3%
Surprised 45.8%
Calm 49.5%
Disgusted 46.5%
Happy 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 49.9%
Calm 49.9%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.6%
Confused 49.5%
Calm 50.1%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.7%
Surprised 49.6%
Confused 49.5%
Calm 49.9%
Happy 49.6%
Angry 49.6%
Sad 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.7%
Surprised 49.6%
Sad 49.8%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Calm 50%
Surprised 49.6%
Confused 49.6%
Sad 49.6%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Surprised 49.6%
Angry 49.5%
Sad 49.9%
Confused 49.6%
Calm 49.9%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 54.4%
Sad 51.6%
Happy 45.3%
Angry 45.2%
Disgusted 45.4%
Confused 45.3%
Calm 46.7%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Calm 49.5%
Sad 49.5%
Disgusted 50.3%
Happy 49.6%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 49.7%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Calm 49.7%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Happy 49.6%
Disgusted 50%
Calm 49.7%
Sad 49.6%
Surprised 49.6%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Sad 49.7%
Angry 49.5%
Happy 49.6%
Disgusted 50.1%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.6%
Calm 49.6%
Sad 50.1%
Confused 49.6%
Happy 49.6%

Feature analysis

Amazon

Person 99.1%

Categories

Imagga

streetview architecture 91.6%
interior objects 4.2%
paintings art 2.6%

Text analysis

Amazon

KODAK
SAFETY
KODAK SAFETY FILM
FILM

Google

KODAK SAFETY FILM 3
KODAK
SAFETY
FILM
3