Human Generated Data

Title

Untitled (large group portrait of students in blackface wearing costumes on auditorium stage)
Date

1950
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, 4.2002.6613

Human Generated Data

Title

Untitled (large group portrait of students in blackface wearing costumes on auditorium stage)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6613

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Human 99
Person 99
Person 97.2
Indoors 95.9
Interior Design 95.9
Stage 95.8
Person 93.3
Person 92.5
Person 90.3
Person 90.1
Room 89.3
Hall 89.3
Auditorium 89.3
Theater 89.3
Person 88.1
Person 81.7
Meal 81.6
Food 81.6
Person 70
Person 65.6
Person 64
Electronics 62.4
Screen 62.4
Person 61.9
Pub 61
Person 59.9
Dessert 58.8
Cream 58.8
Icing 58.8
Creme 58.8
Cake 58.8
Cafeteria 58
Restaurant 58
Lighting 55.7

Clarifai
created on 2019-03-26

room 99.2
people 99.1
furniture 98.7
seat 98.4
no person 98
chair 97.3
indoors 97.1
one 96.9
home 95.6
many 94.6
adult 94.3
group 94.3
leader 91.4
stump 91.2
theater 90.8
administration 89.7
wood 88.5
empty 87.7
wear 86.1
family 84.4

Imagga
created on 2019-03-26

blackboard 80.9
theater curtain 35.5
room 33.7
curtain 30.1
classroom 29.3
stage 28.6
interior 24.7
blind 21.3
platform 19.4
design 19.1
architecture 17.2
modern 15.4
furniture 15.3
building 14.8
light 14.7
old 14.6
home 14.3
protective covering 14.2
art 13.3
house 12.5
hall 12.5
wall 12.5
3d 12.4
decor 12.4
decoration 12.3
style 11.9
structure 11.8
education 11.2
empty 11.2
night 10.6
theater 10.4
luxury 10.3
floor 10.2
frame 10.1
vintage 9.9
cinema 9.8
apartment 9.6
pattern 9.6
hotel 9.5
antique 9.5
classic 9.3
travel 9.1
business 9.1
black 9
covering 9
university 8.7
class 8.7
table 8.6
college 8.5
living 8.5
place 8.4
board 8.3
texture 8.3
entertainment 8.3
chalkboard 7.8
nobody 7.8
space 7.7
stone 7.6
elegance 7.5
dark 7.5
wood 7.5
screen 7.5
teacher 7.5
lights 7.4
retro 7.4
window 7.3
indoor 7.3
school 7.3
graphic 7.3
digital 7.3
landmark 7.2

Google
created on 2019-03-26

Photograph 96.5
Snapshot 82
Black-and-white 78.1
Photography 67.8

Microsoft
created on 2019-03-26

window 97.5
indoor 92.5
white 64.1
black and white 64.1
monochrome 17.3
wedding 12.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 50.3%
Calm 49.7%
Disgusted 50%
Sad 49.5%
Confused 49.5%
Happy 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.5%
Disgusted 50.2%
Sad 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Angry 49.8%
Disgusted 49.5%
Confused 49.7%
Surprised 49.5%
Sad 49.8%
Happy 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 49.8%
Happy 49.6%
Angry 49.6%
Disgusted 49.8%
Confused 49.5%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Sad 50.4%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Sad 50.3%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Sad 50%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

Age 4-7
Gender Female, 50.3%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Sad 50.3%
Angry 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 4-7
Gender Female, 50.2%
Sad 49.7%
Confused 49.6%
Happy 49.7%
Angry 49.6%
Calm 49.9%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Sad 50%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 49.7%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.7%
Happy 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.7%
Calm 50%
Sad 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Happy 49.8%
Sad 49.8%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Disgusted 49.5%
Surprised 49.8%
Confused 49.7%
Calm 49.7%
Happy 49.5%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Sad 50.5%
Angry 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.4%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Sad 50.2%
Calm 49.5%
Confused 49.6%
Happy 49.6%
Disgusted 49.6%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.4%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.8%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.8%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Happy 49.5%
Confused 49.5%
Calm 49.9%
Sad 49.9%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Disgusted 49.7%
Angry 49.6%
Sad 49.6%
Calm 49.9%
Surprised 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 49.8%
Angry 49.5%
Surprised 49.5%
Happy 49.6%
Calm 50%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Sad 49.9%
Angry 49.7%
Disgusted 49.7%
Calm 49.5%
Surprised 49.6%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.9%
Calm 49.8%
Sad 49.6%
Angry 49.5%
Confused 49.6%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.2%
Surprised 49.6%
Calm 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.9%
Calm 49.7%
Confused 49.7%
Surprised 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person
Person 99%
Person 97.2%
Person 93.3%
Person 92.5%
Person 90.3%
Person 90.1%
Person 88.1%
Person 81.7%
Person 70%
Person 65.6%
Person 64%
Person 61.9%
Person 59.9%

Categories

Imagga

cars vehicles 98.8%

Text analysis

Amazon

COTTON
COTTON CLUB
CLUB

Google

COTTON CL UB
COTTON
CL
UB