Human Generated Data

Title

Untitled (large group of adults and children by banquet tables in corner of large room)

Date

c. 1937, printed later

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, 4.2002.5808

Human Generated Data

Title

Untitled (large group of adults and children by banquet tables in corner of large room)

People

Artist: Durette Studio, American 20th century

Date

c. 1937, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5808

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Indoors 99.5
Room 99.2
Person 97
Human 97
Person 95.4
Crowd 95.4
Person 95.2
Person 94.7
Person 94.4
Theater 92.3
Auditorium 91.1
Hall 91.1
Person 90.7
Person 89.9
Person 80.3
Person 79.4
Person 78.4
Person 76.6
Stage 74.7
Person 71.8
Concert 71.4
People 61.3
Person 59.9
Funeral 57.6
Classroom 57.4
School 57.4
Interior Design 57.3
Musical Instrument 56.6
Orchestra 56
Ballroom 55.4
Person 55.1
Person 42.3

Clarifai
created on 2019-11-16

many 99.7
people 99.6
group together 99.4
group 98.9
adult 97.6
education 94.5
school 94.4
man 92.5
woman 92
winter 92
administration 91.6
crowd 90.2
wear 89.4
home 87.6
military 86.1
leader 84.9
chair 81.8
outfit 80.3
uniform 79.8
room 78.8

Imagga
created on 2019-11-16

classroom 72.9
room 60.5
city 33.2
urban 28.8
hall 27.1
people 25.1
building 23.4
architecture 22.6
travel 22.5
transportation 22.4
station 22.3
crowd 19.2
interior 18.6
corridor 16.7
transport 16.4
business 16.4
man 14.8
snow 14.6
walk 14.3
chair 14.3
window 14
scene 13.8
tourist 13.8
glass 13.2
perspective 13.2
men 12.9
street 12.9
motion 12.8
subway 12.8
walking 12.3
reflection 12.2
floor 12.1
modern 11.9
winter 11.9
airport 11.7
silhouette 11.6
move 11.5
blurred 11.5
group 11.3
blur 11.2
indoor 11
gate 10.9
rush 10.8
passenger 10.7
light 10.7
person 10.2
metro 9.9
office 9.7
train 9.7
entrance 9.7
cold 9.5
journey 9.4
place 9.3
inside 9.2
life 9.2
speed 9.2
commuter 8.9
hallway 8.9
indoors 8.8
women 8.7
wall 8.6
adult 8.5
outdoor 8.4
seat 8.4
old 8.4
house 8.4
tourism 8.2
activity 8.1
center 8
arrival 7.9
walkway 7.8
male 7.8
empty 7.7
construction 7.7
sidewalk 7.7
bridge 7.6
outdoors 7.5
time 7.3
furniture 7.3
wheelchair 7.3
pedestrian 7.1
outfit 7.1
night 7.1
work 7.1
structure 7
passage 7
season 7

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

person 89.5
indoor 88.4
people 56.4
dining room 6.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-31
Gender Female, 50.4%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.5%
Happy 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Happy 50.3%
Angry 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.5%
Angry 49.6%
Calm 50.1%
Happy 49.5%
Sad 49.5%
Fear 49.5%
Surprised 49.5%
Disgusted 49.7%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Disgusted 49.9%
Confused 49.5%
Sad 49.6%
Calm 49.9%
Angry 49.6%
Fear 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Fear 49.5%
Calm 50.2%
Confused 49.5%
Surprised 49.6%
Sad 49.5%

AWS Rekognition

Age 9-19
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Calm 50.1%
Confused 49.6%
Sad 49.5%
Surprised 49.7%
Angry 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.5%
Angry 49.5%
Disgusted 49.5%
Fear 49.5%
Sad 49.5%
Happy 49.5%
Calm 50.1%
Confused 49.5%
Surprised 49.8%

AWS Rekognition

Age 33-49
Gender Male, 50.2%
Calm 49.9%
Angry 49.6%
Fear 49.5%
Happy 49.6%
Sad 49.8%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Sad 49.8%
Fear 49.5%
Angry 49.5%
Surprised 49.5%
Calm 50.2%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.3%
Calm 49.7%
Surprised 49.5%
Happy 49.5%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%

AWS Rekognition

Age 49-67
Gender Male, 50.5%
Disgusted 49.9%
Happy 49.5%
Confused 49.6%
Angry 49.5%
Fear 49.5%
Sad 49.6%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Calm 49.6%
Sad 49.8%
Confused 49.5%
Happy 50%
Angry 49.5%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Female, 50.2%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.1%
Fear 49.7%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 51-69
Gender Female, 50.1%
Surprised 49.5%
Calm 49.5%
Fear 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Sad 50.1%
Confused 49.7%

AWS Rekognition

Age 5-15
Gender Male, 50.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Surprised 49.5%
Calm 50.3%
Sad 49.6%

AWS Rekognition

Age 6-16
Gender Female, 50%
Calm 49.7%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.2%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.3%
Angry 49.5%
Sad 49.8%
Confused 49.7%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Fear 49.6%
Calm 49.9%

AWS Rekognition

Age 23-37
Gender Female, 50.3%
Calm 49.5%
Sad 50.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.2%
Calm 49.8%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Happy 49.5%
Fear 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 39-57
Gender Female, 50.1%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.9%
Fear 49.6%
Surprised 49.7%
Confused 49.7%
Sad 49.6%

AWS Rekognition

Age 19-31
Gender Male, 50.5%
Surprised 49.5%
Angry 49.5%
Sad 49.8%
Fear 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 50%
Confused 49.6%

AWS Rekognition

Age 25-39
Gender Female, 50%
Happy 49.6%
Confused 49.5%
Calm 49.9%
Fear 49.6%
Angry 49.6%
Sad 49.6%
Surprised 49.7%
Disgusted 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.6%
Fear 50.1%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Angry 49.8%
Calm 49.6%
Sad 49.5%
Happy 49.5%
Fear 49.6%
Confused 49.5%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Fear 49.7%
Happy 49.5%
Calm 49.9%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 39-57
Gender Male, 50.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Fear 49.6%
Happy 49.5%
Angry 49.6%
Sad 50.1%
Disgusted 49.5%

AWS Rekognition

Age 9-19
Gender Male, 50.4%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.5%
Fear 49.7%
Happy 49.6%

AWS Rekognition

Age 44-62
Gender Male, 50.3%
Confused 49.5%
Sad 49.9%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%
Calm 50%
Surprised 49.5%

AWS Rekognition

Age 18-30
Gender Female, 50.4%
Fear 49.5%
Disgusted 49.5%
Calm 50.2%
Angry 49.5%
Sad 49.8%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 1-5
Gender Male, 50%
Calm 49.5%
Sad 49.6%
Fear 49.7%
Confused 49.5%
Angry 50.2%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 28-44
Gender Female, 50.2%
Confused 49.5%
Calm 49.7%
Sad 49.6%
Surprised 49.5%
Happy 49.5%
Disgusted 49.6%
Fear 49.5%
Angry 50.1%

AWS Rekognition

Age 15-27
Gender Female, 50.1%
Happy 49.5%
Angry 49.5%
Fear 49.6%
Surprised 49.5%
Calm 49.5%
Sad 50.3%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 31-47
Gender Female, 50.1%
Disgusted 50.3%
Happy 49.5%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Fear 49.5%

AWS Rekognition

Age 6-16
Gender Male, 50.4%
Surprised 49.5%
Sad 49.9%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%
Fear 49.6%
Angry 49.6%

AWS Rekognition

Age 15-27
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.8%
Angry 49.8%
Sad 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Fear 49.6%

AWS Rekognition

Age 26-42
Gender Male, 50.2%
Disgusted 49.6%
Sad 49.7%
Confused 49.6%
Happy 49.5%
Fear 49.6%
Surprised 49.5%
Calm 49.8%
Angry 49.7%

AWS Rekognition

Age 32-48
Gender Female, 50%
Angry 49.6%
Calm 49.7%
Fear 49.6%
Disgusted 49.7%
Surprised 49.5%
Happy 49.6%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50.4%
Sad 49.5%
Calm 49.9%
Angry 49.6%
Fear 49.5%
Happy 49.9%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.5%
Sad 49.6%
Disgusted 49.5%
Confused 49.9%
Surprised 49.6%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Calm 49.9%

AWS Rekognition

Age 24-38
Gender Female, 50.3%
Disgusted 49.5%
Sad 49.6%
Calm 50%
Fear 49.5%
Happy 49.5%
Confused 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-26
Gender Female, 50.1%
Happy 49.6%
Angry 49.5%
Disgusted 49.6%
Sad 49.9%
Surprised 49.5%
Calm 49.5%
Fear 49.9%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.3%
Fear 49.7%
Sad 49.8%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Confused 49.7%

AWS Rekognition

Age 36-54
Gender Male, 50.3%
Sad 50.1%
Fear 49.5%
Disgusted 49.6%
Surprised 49.5%
Angry 49.6%
Calm 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.4%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Happy 49.5%
Confused 50.2%
Sad 49.6%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50%
Confused 49.5%
Calm 49.6%
Sad 49.5%
Surprised 49.6%
Happy 49.7%
Disgusted 49.5%
Fear 50%
Angry 49.5%

AWS Rekognition

Age 50-68
Gender Male, 50.3%
Fear 49.5%
Calm 50.1%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 21-33
Gender Female, 50%
Surprised 49.5%
Fear 49.5%
Happy 49.5%
Sad 49.9%
Calm 49.9%
Disgusted 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.2%
Happy 49.5%
Fear 49.5%
Sad 50.3%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 30-46
Gender Male, 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.8%
Disgusted 49.5%
Sad 50.1%
Angry 49.5%
Fear 49.5%

Feature analysis

Amazon

Person 97%

Text analysis

Amazon

digososs
VOGOD