Human Generated Data

Title

Untitled (people seated at banquet- Stokeley Bros. and Silver Bros.)
Date

1940
People

Artist: Durette 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, 4.2002.4172

Human Generated Data

Title

Untitled (people seated at banquet- Stokeley Bros. and Silver Bros.)

People

Artist: Durette Studio, American 20th century

Date

1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4172

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 99.5
Person 99.5
Person 98.4
Person 98.3
Person 97.4
Person 96.4
Person 89.3
People 88.2
Person 86.3
Indoors 79.1
Crowd 78.9
Room 78.1
Person 77.2
Text 75.4
Person 73.6
Banner 63.7
Person 60.4
Person 56.6
Hall 55.2
Person 53

Clarifai
created on 2019-06-01

people 98
crowd 96
man 91.5
monochrome 91.4
adult 91.3
audience 91.1
city 86.9
many 85.7
indoors 84.2
illustration 83.6
woman 83.2
group together 79
horizontal 78.6
group 78.1
business 75.6
desktop 74.1
populace 74
modern 72.6
image 71.8
spectator 70

Imagga
created on 2019-06-01

building 38.1
architecture 36.9
city 29.9
hall 23.3
travel 23.2
structure 22.3
night 20.4
landmark 19
history 18.8
old 17.4
sky 16.6
urban 15.7
historic 15.6
capital 15.2
tourism 14.8
famous 14
house 13.8
construction 13.7
tourist 12.9
water 12.7
billboard 12.5
historical 12.2
ship 12.2
monument 12.1
facility 11.9
stage 11.7
vintage 11.6
river 11.6
skyline 11.4
buildings 11.3
street 11
gymnasium 10.6
signboard 10.5
cityscape 10.4
bridge 10.4
palace 9.9
tower 9.8
bank 9.4
town 9.3
cinema 9.2
center 9
flag 9
landscape 8.9
athletic facility 8.8
sea 8.7
light 8.7
port 8.7
liner 8.7
cathedral 8.6
holiday 8.6
destination 8.4
theater 8.3
retro 8.2
national 8.2
passenger ship 8.1
art 8.1
balcony 8.1
transportation 8.1
religion 8.1
boat 7.9
station 7.9
film 7.9
design 7.9
sculpture 7.8
ancient 7.8
culture 7.7
downtown 7.7
outdoor 7.6
attraction 7.6
statue 7.6
clouds 7.6
park 7.6
treasury 7.5
ocean 7.5
place 7.4
lights 7.4
church 7.4
transport 7.3
business 7.3
square 7.2
residence 7.2
negative 7.1
platform 7.1
day 7.1

Google
created on 2019-06-01

Photograph 96
Room 71.4
Black-and-white 68.3
Photography 62.4
Stock photography 59.4
Team 52.3

Microsoft
created on 2019-06-01

person 57

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Female, 54.7%
Angry 45.6%
Happy 45.7%
Confused 45.6%
Calm 48.8%
Surprised 45.9%
Sad 48.1%
Disgusted 45.3%

AWS Rekognition

Age 35-52
Gender Female, 53.9%
Surprised 45.5%
Disgusted 45.1%
Calm 51.1%
Happy 45.1%
Sad 47.2%
Angry 45.5%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 51.6%
Confused 46.3%
Calm 47.1%
Sad 46.9%
Surprised 45.8%
Angry 45.9%
Disgusted 46.1%
Happy 47%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Sad 49.9%
Calm 49.7%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 35-55
Gender Female, 54.3%
Sad 53.1%
Surprised 45.3%
Happy 45.2%
Angry 45.3%
Calm 45.6%
Confused 45.2%
Disgusted 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Calm 49.7%
Sad 49.6%
Surprised 49.6%
Disgusted 49.9%
Happy 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 52.2%
Sad 48%
Surprised 45.4%
Disgusted 48.8%
Angry 45.7%
Calm 46.3%
Happy 45.3%
Confused 45.6%

AWS Rekognition

Age 23-38
Gender Female, 54.2%
Disgusted 45.7%
Calm 48.7%
Sad 47.3%
Confused 45.6%
Angry 46%
Surprised 45.8%
Happy 45.9%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Sad 50.1%
Confused 45.2%
Disgusted 45.2%
Surprised 45.2%
Angry 45.2%
Happy 45.2%
Calm 49%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.9%
Confused 49.6%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Happy 49.8%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Angry 49.7%
Disgusted 49.8%
Confused 49.6%
Calm 49.6%
Sad 49.7%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.6%
Happy 49.5%
Surprised 49.5%
Calm 50.2%
Disgusted 49.6%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.4%
Calm 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.7%
Sad 49.7%
Happy 49.6%
Calm 49.8%
Confused 49.5%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.9%
Sad 49.6%
Happy 49.7%
Surprised 49.6%
Calm 49.7%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.6%
Confused 49.5%
Sad 50.1%
Surprised 49.5%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 57-77
Gender Female, 50.1%
Confused 49.5%
Sad 50.3%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.6%
Surprised 49.6%
Calm 49.8%
Sad 49.7%
Happy 49.7%
Disgusted 49.6%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.5%
Confused 49.5%
Surprised 49.6%
Happy 49.5%
Sad 49.7%
Calm 50.1%
Disgusted 49.5%

AWS Rekognition

Age 38-57
Gender Female, 52.9%
Happy 46.3%
Confused 45.7%
Angry 45.4%
Sad 46.1%
Calm 50%
Surprised 45.8%
Disgusted 45.6%

AWS Rekognition

Age 30-47
Gender Female, 50.3%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Calm 49.8%
Happy 49.7%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Sad 50.1%
Calm 49.7%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Confused 49.6%
Surprised 49.6%
Calm 49.7%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Disgusted 49.7%
Calm 49.9%
Angry 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Sad 49.6%
Surprised 49.6%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Confused 49.5%
Disgusted 49.9%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Happy 49.5%
Calm 50.4%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.9%
Surprised 49.6%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.9%
Sad 50%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%
Sad 50.2%
Calm 49.6%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Surprised 49.6%
Calm 49.8%
Disgusted 49.5%
Confused 49.6%
Sad 49.8%
Happy 49.7%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.6%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Calm 50.3%
Surprised 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.5%

Categories

Imagga

cars vehicles 93.9%
text visuals 3.8%
interior objects 1.1%

Text analysis

Amazon

STOKELEY
SILVER
Studio
BRos
BANDUET
STOKELEY BROSE SILVER BRos BANDUET
Durette Studio
Mat
Carpente
Q
Durette
Photo
BROSE
110101ir

Google

BROS.BA STO OS SILV ER Durette. Stu dio
BROS.BA
STO
OS
SILV
ER
Durette.
Stu
dio