Human Generated Data

Title

Untitled (pep squad seated in front of train)
Date

1934
People

Artist: Harry Annas, American 1897 - 1980
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3566

Human Generated Data

Title

Untitled (pep squad seated in front of train)

People

Artist: Harry Annas, American 1897 - 1980

Date

1934

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3566

Machine Generated Data

Tags

Amazon
created on 2022-01-22

Person 98.4
Human 98.4
Person 98.4
Person 98
Person 97.9
Person 97.2
Person 97.1
Person 95.1
Person 93
Vehicle 90.6
Transportation 90.6
Person 89.8
Person 86.1
Person 85
People 82.9
Person 80.4
Clothing 74.4
Apparel 74.4
Train 67.1
Person 66.1
Person 62.5
Truck 62.2
Fire Truck 58.4
Shorts 56.1

Clarifai
created on 2023-10-26

people 99.9
group 99
many 99
child 98.7
education 98.3
school 98.1
boy 97.1
adult 96.1
man 93.9
group together 90.6
classroom 88.8
crowd 87.6
woman 86
audience 84
room 83.7
sit 83.2
teacher 79.5
class 79
wear 76.1
war 75.5

Imagga
created on 2022-01-22

freight car 47.6
car 38.8
graffito 36.3
wheeled vehicle 33.4
grunge 28.1
vehicle 27.7
decoration 27.2
old 26.5
vintage 19.8
city 19.1
texture 16
art 15.7
paper 15.7
architecture 15.6
retro 15.6
ancient 15.6
aged 15.4
grungy 14.2
travel 13.4
bill 13.3
urban 13.1
antique 13
building 12.7
wall 12.1
conveyance 12
cash 11.9
finance 11.8
design 11.8
dirty 11.7
text 11.3
structure 11.3
town 11.1
money 11.1
currency 10.8
bank 10.7
billboard 10.5
artistic 10.4
dollar 10.2
frame 10
tourism 9.9
history 9.8
business 9.7
signboard 9.7
pattern 9.6
house 9.2
letter 9.2
black 9
worn 8.6
culture 8.5
industry 8.5
rich 8.4
banking 8.3
rough 8.2
industrial 8.2
paint 8.1
border 8.1
symbol 8.1
stamp 7.7
stone 7.7
mail 7.7
street 7.4
color 7.2
wealth 7.2
drawing 7.1

Google
created on 2022-01-22

Font 83.7
Art 74.5
Crowd 72.4
Monochrome 71.8
Illustration 66.5
Drawing 66.4
Team 66
History 65.9
Painting 65.9
Room 65.7
Event 65.6
Visual arts 65.5
Rectangle 64.2
Monochrome photography 64.1
Stock photography 61.6
Paper product 56.2
Building 52.6
Collection 51.3
Class 51.2

Microsoft
created on 2022-01-22

text 99.3
old 86.2
person 65.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-30
Gender Male, 96%
Happy 77.6%
Calm 11.5%
Sad 3.3%
Confused 2%
Fear 1.8%
Angry 1.5%
Disgusted 1.4%
Surprised 1%

AWS Rekognition

Age 14-22
Gender Female, 97.2%
Sad 65.9%
Calm 9%
Happy 6.7%
Fear 5.2%
Disgusted 4.7%
Angry 3.9%
Surprised 3.2%
Confused 1.4%

AWS Rekognition

Age 23-33
Gender Female, 91%
Calm 45.2%
Happy 34%
Sad 17%
Disgusted 1.3%
Confused 0.7%
Angry 0.7%
Fear 0.6%
Surprised 0.5%

AWS Rekognition

Age 26-36
Gender Male, 88.7%
Calm 31.9%
Sad 28.9%
Happy 25.2%
Fear 5.9%
Disgusted 2.9%
Confused 1.9%
Surprised 1.9%
Angry 1.5%

AWS Rekognition

Age 23-31
Gender Male, 70%
Calm 37.5%
Happy 27.1%
Sad 23.5%
Disgusted 3.2%
Surprised 2.7%
Angry 2.5%
Fear 2.3%
Confused 1%

AWS Rekognition

Age 45-51
Gender Female, 63.3%
Happy 94.7%
Sad 2.7%
Calm 1.3%
Confused 0.5%
Angry 0.2%
Surprised 0.2%
Disgusted 0.2%
Fear 0.1%

AWS Rekognition

Age 27-37
Gender Male, 82.6%
Calm 85.8%
Happy 10%
Sad 2.3%
Disgusted 0.6%
Fear 0.4%
Surprised 0.4%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 43-51
Gender Male, 99.1%
Happy 94.6%
Calm 2.2%
Sad 1.8%
Fear 0.4%
Confused 0.3%
Surprised 0.2%
Disgusted 0.2%
Angry 0.2%

AWS Rekognition

Age 27-37
Gender Male, 98.2%
Calm 50.9%
Happy 32%
Sad 11.5%
Fear 2.5%
Confused 1%
Angry 0.8%
Surprised 0.7%
Disgusted 0.7%

AWS Rekognition

Age 20-28
Gender Male, 77.7%
Calm 47.7%
Happy 38.1%
Fear 4.4%
Sad 4.2%
Surprised 2.4%
Angry 1.5%
Disgusted 1.1%
Confused 0.6%

AWS Rekognition

Age 40-48
Gender Male, 87.6%
Happy 73.2%
Calm 13%
Sad 7.9%
Surprised 1.6%
Disgusted 1.1%
Confused 1.1%
Angry 1.1%
Fear 0.9%

AWS Rekognition

Age 50-58
Gender Female, 61.3%
Calm 89.3%
Sad 3.1%
Disgusted 2.8%
Fear 1.6%
Happy 1.2%
Confused 1.1%
Angry 0.4%
Surprised 0.4%

AWS Rekognition

Age 23-31
Gender Male, 67.6%
Happy 70.2%
Calm 24.5%
Sad 3.3%
Surprised 0.5%
Angry 0.5%
Confused 0.4%
Disgusted 0.4%
Fear 0.3%

AWS Rekognition

Age 27-37
Gender Male, 89.6%
Calm 98%
Happy 1.3%
Fear 0.2%
Sad 0.2%
Surprised 0.1%
Disgusted 0.1%
Confused 0%
Angry 0%

AWS Rekognition

Age 37-45
Gender Female, 60.5%
Happy 61.1%
Calm 23.7%
Sad 8.2%
Disgusted 3.5%
Angry 1.6%
Surprised 0.9%
Fear 0.6%
Confused 0.5%

AWS Rekognition

Age 20-28
Gender Male, 96.3%
Calm 48.4%
Sad 23.7%
Happy 17.2%
Fear 3.4%
Disgusted 2.4%
Angry 1.9%
Surprised 1.7%
Confused 1.4%

AWS Rekognition

Age 20-28
Gender Female, 83%
Calm 47%
Happy 18.3%
Sad 15.6%
Fear 5.5%
Disgusted 5.3%
Confused 3.3%
Angry 2.5%
Surprised 2.4%

AWS Rekognition

Age 39-47
Gender Male, 99.8%
Calm 97.2%
Happy 1.8%
Sad 0.4%
Disgusted 0.2%
Surprised 0.1%
Confused 0.1%
Angry 0.1%
Fear 0%

AWS Rekognition

Age 48-56
Gender Female, 55.2%
Happy 97.2%
Sad 0.9%
Angry 0.5%
Calm 0.4%
Disgusted 0.4%
Surprised 0.3%
Fear 0.2%
Confused 0.1%

AWS Rekognition

Age 24-34
Gender Female, 72.7%
Sad 45.5%
Disgusted 37.4%
Happy 7.3%
Angry 4.4%
Calm 2.4%
Fear 1.3%
Confused 1%
Surprised 0.8%

AWS Rekognition

Age 25-35
Gender Male, 84.6%
Calm 93.2%
Happy 3.6%
Sad 1.8%
Surprised 0.3%
Angry 0.3%
Fear 0.3%
Disgusted 0.2%
Confused 0.2%

AWS Rekognition

Age 14-22
Gender Female, 75.2%
Calm 34.8%
Happy 27%
Sad 26.8%
Fear 5.2%
Angry 2%
Disgusted 1.7%
Surprised 1.5%
Confused 1%

AWS Rekognition

Age 27-37
Gender Female, 77.8%
Calm 74.5%
Happy 12%
Disgusted 5.4%
Sad 2.6%
Surprised 2.1%
Confused 1.3%
Angry 1.3%
Fear 0.7%

AWS Rekognition

Age 39-47
Gender Male, 63.8%
Happy 77.4%
Calm 15.4%
Sad 4.9%
Surprised 0.7%
Disgusted 0.4%
Fear 0.4%
Confused 0.4%
Angry 0.3%

AWS Rekognition

Age 22-30
Gender Male, 96.3%
Calm 82.3%
Sad 13.3%
Confused 1.4%
Happy 1.2%
Angry 0.7%
Disgusted 0.6%
Surprised 0.4%
Fear 0.3%

AWS Rekognition

Age 25-35
Gender Male, 96.2%
Calm 89.4%
Happy 5.6%
Sad 2.4%
Fear 1.7%
Surprised 0.3%
Disgusted 0.3%
Confused 0.2%
Angry 0.2%

AWS Rekognition

Age 26-36
Gender Male, 89.7%
Happy 99.7%
Sad 0.1%
Confused 0.1%
Surprised 0%
Calm 0%
Disgusted 0%
Fear 0%
Angry 0%

AWS Rekognition

Age 23-33
Gender Male, 82.1%
Sad 37.1%
Happy 34.2%
Calm 17.3%
Fear 4.7%
Disgusted 2.7%
Angry 1.9%
Surprised 1.1%
Confused 1%

AWS Rekognition

Age 22-30
Gender Female, 94.6%
Happy 98.6%
Calm 0.7%
Sad 0.5%
Fear 0.1%
Surprised 0.1%
Confused 0.1%
Disgusted 0%
Angry 0%

AWS Rekognition

Age 25-35
Gender Male, 99.5%
Calm 78.3%
Sad 12.6%
Happy 3.5%
Fear 1.9%
Confused 1.7%
Disgusted 0.8%
Surprised 0.8%
Angry 0.5%

AWS Rekognition

Age 18-26
Gender Female, 90.9%
Calm 80%
Sad 11.6%
Happy 4%
Disgusted 1.5%
Confused 0.8%
Fear 0.7%
Angry 0.7%
Surprised 0.6%

AWS Rekognition

Age 31-41
Gender Female, 95.1%
Calm 50.8%
Happy 30.8%
Sad 6.5%
Fear 3.7%
Surprised 3.1%
Disgusted 2.3%
Angry 1.5%
Confused 1.3%

AWS Rekognition

Age 22-30
Gender Female, 98.5%
Calm 92.6%
Sad 5.8%
Happy 0.5%
Angry 0.3%
Disgusted 0.3%
Confused 0.2%
Surprised 0.2%
Fear 0.2%

AWS Rekognition

Age 49-57
Gender Male, 85%
Sad 74.6%
Calm 20.5%
Happy 1.7%
Fear 0.8%
Disgusted 0.7%
Confused 0.7%
Angry 0.6%
Surprised 0.3%

AWS Rekognition

Age 19-27
Gender Male, 76.9%
Calm 45.1%
Happy 43.6%
Fear 3.5%
Sad 3.5%
Disgusted 1.6%
Confused 1.1%
Angry 0.9%
Surprised 0.7%

Feature analysis

Amazon

Person 98.4%

Text analysis

Amazon

м-к-т
285
28%
-ЛАМТР

Google

285 M-K-T
285
M-K-T