Human Generated Data

Title

Untitled (camera crew in front of seated crowd)

Date

1951

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5045

Copyright

© Estate of Joseph Janney Steinmetz

Human Generated Data

Title

Untitled (camera crew in front of seated crowd)

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Date

1951

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-01-22

Person 99
Human 99
Person 98.7
Person 98.3
Person 96.5
Person 96.4
Interior Design 95.7
Indoors 95.7
Person 95
Person 94.9
Person 91.8
Person 90.6
Person 89.1
Person 88.1
Person 87.6
Crowd 87
Person 85.1
People 81.5
Face 76.6
Person 67.8
Person 64.3
Person 64
Art 62.6
Drawing 62.6
Person 60.5
Person 60.2
Theme Park 57.2
Amusement Park 57.2
Audience 55.9
Jury 55.7

Imagga
created on 2022-01-22

daily 33.2
grunge 26.4
drawing 23.8
business 20.6
old 18.8
sketch 18.4
design 17.4
building 17.3
city 16.6
negative 15.8
art 15.7
urban 15.7
vintage 15.7
texture 15.3
architecture 14.8
film 14.7
graphic 14.6
businessman 14.1
retro 13.9
male 13.5
pattern 13
man 12.8
construction 12.8
finance 12.7
aged 12.7
silhouette 12.4
black 12
chart 11.5
antique 11.2
newspaper 11.2
technology 11.1
dirty 10.8
sign 10.5
plan 10.4
sky 10.2
work 10.2
tower 9.8
diagram 9.6
scene 9.5
cityscape 9.5
poster 9.4
symbol 9.4
tracing 9.3
house 9.2
modern 9.1
person 8.8
cloud 8.6
men 8.6
stage 8.6
pencil 8.6
blackboard 8.5
grungy 8.5
photographic paper 8.4
power 8.4
people 8.4
frame 8.3
creation 8.2
human 8.2
group 8.1
looking 8
product 7.9
life 7.9
paper 7.8
space 7.8
wallpaper 7.7
money 7.7
engineering 7.6
skyline 7.6
buildings 7.6
writing 7.5
manager 7.4
style 7.4
decoration 7.4
office 7.4
structure 7.3
backgrounds 7.3
rough 7.3
paint 7.2
success 7.2
border 7.2
computer 7.2
history 7.2
world 7

Google
created on 2022-01-22

Hat 87.7
Organism 85.3
Black-and-white 83.9
Style 83.8
Art 82.8
Font 79
Monochrome 77.1
Monochrome photography 75.9
Crowd 75.5
Snapshot 74.3
Sun hat 71.9
Event 71.9
Illustration 69.4
Building 67.2
Room 65.9
History 65.4
Stock photography 63.2
Urban design 61.9
Pole 56.6
Team 56.2

Microsoft
created on 2022-01-22

text 99.3
drawing 92.9
sketch 87.1
person 86.3
clothing 80.2
cartoon 76
people 75.2
man 70.9
old 64.3
group 57.1
crowd 28.8

Face analysis

Amazon

AWS Rekognition

Age 40-48
Gender Male, 75%
Calm 64.9%
Sad 19.8%
Confused 4.2%
Fear 3.9%
Happy 2.3%
Disgusted 1.9%
Surprised 1.7%
Angry 1.3%

AWS Rekognition

Age 29-39
Gender Female, 99%
Happy 98%
Calm 0.8%
Surprised 0.4%
Angry 0.3%
Fear 0.2%
Confused 0.1%
Disgusted 0.1%
Sad 0.1%

AWS Rekognition

Age 27-37
Gender Male, 97.4%
Calm 83.2%
Happy 7%
Sad 3.2%
Fear 2.2%
Confused 1.7%
Surprised 1.1%
Disgusted 1%
Angry 0.6%

AWS Rekognition

Age 26-36
Gender Female, 75.8%
Happy 93.5%
Calm 2.5%
Surprised 1.2%
Sad 1.2%
Fear 0.5%
Confused 0.4%
Disgusted 0.4%
Angry 0.3%

AWS Rekognition

Age 22-30
Gender Male, 98.7%
Calm 88.3%
Sad 5.2%
Happy 3.5%
Angry 1%
Disgusted 0.8%
Confused 0.7%
Surprised 0.3%
Fear 0.2%

AWS Rekognition

Age 27-37
Gender Male, 65.6%
Calm 85.9%
Happy 6.4%
Angry 5.2%
Disgusted 0.9%
Sad 0.9%
Surprised 0.2%
Fear 0.2%
Confused 0.2%

AWS Rekognition

Age 34-42
Gender Female, 96.7%
Calm 99.4%
Sad 0.3%
Disgusted 0.1%
Surprised 0.1%
Angry 0.1%
Confused 0%
Happy 0%
Fear 0%

AWS Rekognition

Age 23-31
Gender Male, 92.7%
Calm 40.2%
Sad 28.4%
Fear 11%
Angry 9.4%
Happy 6.5%
Disgusted 2.7%
Surprised 1%
Confused 0.9%

AWS Rekognition

Age 24-34
Gender Female, 63.7%
Calm 45.9%
Happy 40.9%
Sad 6.2%
Angry 2.2%
Disgusted 1.7%
Fear 1.6%
Surprised 1.1%
Confused 0.4%

AWS Rekognition

Age 28-38
Gender Male, 96.9%
Calm 32.3%
Disgusted 27.2%
Fear 16.4%
Sad 8.6%
Angry 5.3%
Happy 4.2%
Surprised 4%
Confused 1.9%

AWS Rekognition

Age 22-30
Gender Female, 87.7%
Calm 85.8%
Happy 4.1%
Fear 4%
Disgusted 1.5%
Sad 1.5%
Angry 1.2%
Surprised 1.1%
Confused 0.9%

AWS Rekognition

Age 25-35
Gender Male, 92.8%
Happy 89.9%
Calm 3.6%
Sad 1.9%
Angry 1.6%
Fear 0.9%
Disgusted 0.8%
Surprised 0.8%
Confused 0.5%

AWS Rekognition

Age 33-41
Gender Male, 78.4%
Calm 94.6%
Sad 2.2%
Happy 1.6%
Angry 0.5%
Disgusted 0.3%
Fear 0.3%
Confused 0.3%
Surprised 0.2%

AWS Rekognition

Age 24-34
Gender Female, 66.2%
Happy 45%
Calm 11.8%
Angry 11.6%
Disgusted 10.8%
Fear 9.2%
Sad 7.3%
Surprised 3.1%
Confused 1.1%

AWS Rekognition

Age 18-26
Gender Male, 97.7%
Calm 95%
Sad 2.2%
Happy 1.2%
Angry 0.5%
Confused 0.5%
Disgusted 0.3%
Fear 0.2%
Surprised 0.2%

AWS Rekognition

Age 23-31
Gender Female, 90.2%
Calm 59.7%
Sad 22.3%
Happy 8.3%
Angry 2.5%
Confused 2.5%
Fear 2%
Disgusted 1.5%
Surprised 1.2%

AWS Rekognition

Age 23-31
Gender Female, 61.1%
Calm 55.2%
Sad 21.4%
Disgusted 7.7%
Angry 4.6%
Confused 4.3%
Happy 2.4%
Surprised 2.2%
Fear 2.1%

AWS Rekognition

Age 23-31
Gender Female, 65.2%
Sad 79.2%
Calm 12.3%
Angry 2.3%
Fear 1.8%
Confused 1.6%
Disgusted 1.3%
Happy 1.3%
Surprised 0.2%

AWS Rekognition

Age 30-40
Gender Female, 56.5%
Happy 51.2%
Calm 30.5%
Sad 5.8%
Disgusted 3.2%
Surprised 3.1%
Confused 2.9%
Fear 1.7%
Angry 1.7%

AWS Rekognition

Age 18-24
Gender Male, 96.5%
Calm 93.6%
Fear 2.1%
Sad 2%
Happy 1%
Angry 0.4%
Confused 0.3%
Disgusted 0.3%
Surprised 0.2%

AWS Rekognition

Age 16-24
Gender Female, 63.9%
Calm 57.4%
Sad 33.5%
Disgusted 3%
Angry 2.1%
Fear 1.7%
Confused 1.2%
Surprised 0.6%
Happy 0.6%

AWS Rekognition

Age 28-38
Gender Male, 87.7%
Happy 80%
Calm 9.9%
Fear 4.8%
Sad 2.5%
Angry 1.8%
Disgusted 0.6%
Surprised 0.3%
Confused 0.2%

AWS Rekognition

Age 30-40
Gender Female, 72.9%
Calm 39.2%
Happy 37.4%
Confused 10.9%
Sad 4.6%
Angry 2.8%
Disgusted 2.5%
Surprised 1.9%
Fear 0.7%

AWS Rekognition

Age 26-36
Gender Female, 95.1%
Calm 99.5%
Sad 0.3%
Disgusted 0.1%
Surprised 0%
Angry 0%
Confused 0%
Fear 0%
Happy 0%

AWS Rekognition

Age 23-33
Gender Male, 71%
Calm 90.5%
Happy 4.7%
Angry 1.7%
Sad 1.3%
Confused 0.5%
Disgusted 0.5%
Fear 0.5%
Surprised 0.3%

AWS Rekognition

Age 22-30
Gender Male, 99.1%
Calm 47.2%
Happy 45.2%
Sad 2.5%
Angry 2%
Disgusted 1.2%
Surprised 0.8%
Fear 0.5%
Confused 0.5%

AWS Rekognition

Age 25-35
Gender Male, 89.2%
Calm 83.6%
Angry 5.4%
Sad 5.2%
Happy 1.9%
Confused 1.3%
Disgusted 1.3%
Surprised 0.9%
Fear 0.3%

AWS Rekognition

Age 29-39
Gender Female, 64%
Disgusted 72%
Calm 19.6%
Sad 5.7%
Angry 0.9%
Happy 0.7%
Fear 0.5%
Surprised 0.3%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Male, 95%
Calm 45.6%
Angry 19%
Sad 14.6%
Happy 7.3%
Fear 5.9%
Disgusted 3%
Surprised 2.7%
Confused 2%

AWS Rekognition

Age 14-22
Gender Female, 83.8%
Sad 59%
Calm 20.8%
Happy 12%
Angry 2.2%
Fear 2.1%
Confused 1.5%
Disgusted 1.5%
Surprised 1%

AWS Rekognition

Age 27-37
Gender Male, 90.9%
Calm 39.5%
Disgusted 30.1%
Sad 24.1%
Angry 2.5%
Fear 1.6%
Confused 1.1%
Happy 0.7%
Surprised 0.4%

AWS Rekognition

Age 19-27
Gender Female, 73.1%
Calm 49.8%
Sad 21.5%
Fear 9.6%
Disgusted 5.8%
Confused 5.1%
Surprised 4.2%
Angry 2.1%
Happy 1.9%

AWS Rekognition

Age 33-41
Gender Male, 99.5%
Sad 66.1%
Calm 18.4%
Happy 5.3%
Angry 4.1%
Disgusted 2.8%
Fear 2.4%
Confused 0.5%
Surprised 0.3%

AWS Rekognition

Age 19-27
Gender Female, 94.4%
Calm 66.3%
Sad 16.9%
Fear 11.7%
Happy 2.2%
Confused 0.9%
Surprised 0.8%
Angry 0.7%
Disgusted 0.6%

AWS Rekognition

Age 23-33
Gender Male, 77.3%
Calm 87.3%
Happy 4.7%
Sad 3%
Angry 1.6%
Disgusted 1.3%
Confused 1%
Surprised 0.6%
Fear 0.5%

Feature analysis

Amazon

Person 99%

Captions

Microsoft

a group of people in an old photo of a crowd 87.7%
a group of people standing in front of a crowd 85.4%
a group of people in front of a crowd 85.3%

Text analysis

Amazon

31081
ACENCY
CAMME

Google

31081
31081