Human Generated Data

Title

Untitled (Baldwin alumni and students singing on steps)
Date

1937
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, 4.2002.8448
Copyright

© Estate of Joseph Janney Steinmetz

Human Generated Data

Title

Untitled (Baldwin alumni and students singing on steps)

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.8448

Copyright

© Estate of Joseph Janney Steinmetz

Machine Generated Data

Tags

Amazon
created on 2022-01-15

Person 99.2
Human 99.2
Person 98.9
Person 97.5
Person 97.3
Audience 97.3
Crowd 97.3
Person 95.2
Clothing 94.5
Apparel 94.5
Person 93.5
Person 92.5
Person 92
Person 89.8
Person 83.9
Person 75
Person 73.9
Face 70.1
People 69.5
Sleeve 64.1
Female 62.7
Long Sleeve 61.4
Stage 56.2
Text 55.8
Person 55
Person 52.6
Person 49.7

Clarifai
created on 2023-10-26

people 99.7
woman 95.2
group 94.7
child 94.6
many 94.4
man 93.6
adult 92.3
indoors 92
uniform 91.8
education 89.7
crowd 88.9
group together 87.5
monochrome 85.9
war 80.8
wear 80.6
ceremony 80.3
boy 78.8
military 77.7
street 75.9
music 74.5

Imagga
created on 2022-01-15

people 29.5
business 27.9
crowd 27.8
silhouette 24
businessman 22.9
team 22.4
teamwork 22.2
man 20.5
group 20.1
person 19.6
male 19.1
design 18.6
work 18.1
audience 17.5
businesswoman 16.3
job 15.9
lights 15.8
occupation 14.7
leader 14.4
boss 14.3
meeting 14.1
black 13.7
symbol 13.5
spectator 13.4
flag 13.3
cheering 12.7
nighttime 12.7
stadium 12.6
patriotic 12.5
nation 12.3
presentation 12.1
success 12.1
icon 11.9
president 11.8
night 11.5
sexy 11.2
men 11.2
stage 11
supporters 10.9
speech 10.8
vibrant 10.5
city 10
music 9.9
women 9.5
grunge 9.4
hall 9.3
art 9.3
bright 9.3
vivid 9.3
equipment 9.2
modern 9.1
concert 8.7
party 8.6
office 8.3
graphic 8
gymnasium 7.7
old 7.7
horizontal 7.5
building 7.3

Google
created on 2022-01-15

Black 89.5
Standing 86.4
Gesture 85.3
Black-and-white 84.1
Style 83.9
Font 81.4
Monochrome photography 76.4
Monochrome 75.3
Event 74.3
Team 72.8
Crew 71.9
Crowd 71
Uniform 67.3
Room 66.5
History 65.9
Photo caption 62.2
Vintage clothing 58.1
Pole 57.1
Advertising 53.5

Microsoft
created on 2022-01-15

person 99
text 92
clothing 88.5
black 70.6
white 64.2
black and white 59.5
man 50.8
crowd 25.4

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 24-34
Gender Male, 94%
Calm 95.9%
Sad 1.4%
Surprised 0.7%
Confused 0.6%
Angry 0.5%
Disgusted 0.4%
Happy 0.4%
Fear 0.1%

AWS Rekognition

Age 40-48
Gender Male, 98.5%
Calm 52.1%
Sad 45%
Confused 1.4%
Happy 0.4%
Angry 0.4%
Disgusted 0.3%
Surprised 0.2%
Fear 0.1%

AWS Rekognition

Age 30-40
Gender Female, 71.9%
Calm 66.2%
Sad 28.9%
Disgusted 1.4%
Confused 1.4%
Surprised 0.8%
Happy 0.7%
Angry 0.4%
Fear 0.2%

AWS Rekognition

Age 39-47
Gender Male, 90.4%
Calm 67.2%
Happy 21.2%
Surprised 3.2%
Confused 3.1%
Sad 2.7%
Disgusted 1.2%
Angry 0.8%
Fear 0.5%

AWS Rekognition

Age 16-24
Gender Female, 92.5%
Sad 70.1%
Calm 20.1%
Confused 6.8%
Happy 1.6%
Fear 0.5%
Angry 0.5%
Disgusted 0.3%
Surprised 0.2%

AWS Rekognition

Age 18-24
Gender Female, 79.4%
Angry 46.5%
Calm 34%
Sad 11.1%
Disgusted 2.4%
Fear 2.3%
Confused 1.9%
Surprised 1%
Happy 0.8%

AWS Rekognition

Age 16-22
Gender Female, 56.7%
Sad 52.7%
Calm 39.4%
Disgusted 2%
Confused 1.5%
Angry 1.4%
Fear 1.3%
Happy 1%
Surprised 0.7%

AWS Rekognition

Age 37-45
Gender Male, 96.1%
Calm 92.6%
Surprised 5%
Confused 0.7%
Disgusted 0.5%
Happy 0.5%
Sad 0.4%
Angry 0.2%
Fear 0.1%

AWS Rekognition

Age 21-29
Gender Male, 64%
Calm 98.4%
Sad 1%
Happy 0.1%
Confused 0.1%
Fear 0.1%
Surprised 0.1%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 23-31
Gender Male, 78.9%
Calm 97.6%
Angry 1%
Sad 0.7%
Confused 0.3%
Disgusted 0.2%
Fear 0.1%
Happy 0.1%
Surprised 0%

AWS Rekognition

Age 6-14
Gender Female, 98.1%
Calm 87.7%
Fear 7.7%
Angry 1.9%
Disgusted 1.1%
Sad 0.7%
Happy 0.3%
Confused 0.3%
Surprised 0.3%

AWS Rekognition

Age 9-17
Gender Female, 91.2%
Sad 98%
Confused 1.4%
Calm 0.3%
Angry 0.1%
Happy 0.1%
Disgusted 0.1%
Fear 0%
Surprised 0%

AWS Rekognition

Age 10-18
Gender Female, 54.5%
Calm 95.3%
Sad 2.4%
Confused 0.6%
Disgusted 0.5%
Happy 0.5%
Angry 0.4%
Fear 0.2%
Surprised 0.2%

AWS Rekognition

Age 34-42
Gender Male, 99%
Sad 66.8%
Calm 31.9%
Confused 0.6%
Happy 0.3%
Angry 0.2%
Disgusted 0.1%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 36-44
Gender Male, 68.8%
Calm 70.4%
Happy 19.8%
Sad 2.9%
Confused 1.7%
Angry 1.6%
Disgusted 1.6%
Fear 1%
Surprised 0.9%

AWS Rekognition

Age 26-36
Gender Male, 95.3%
Confused 55.8%
Sad 13.8%
Fear 8%
Angry 8%
Calm 7.7%
Surprised 3.7%
Disgusted 2.6%
Happy 0.4%

AWS Rekognition

Age 16-24
Gender Male, 96.3%
Sad 32.2%
Calm 18.6%
Disgusted 18.2%
Confused 17.6%
Fear 9.5%
Angry 2.7%
Happy 0.7%
Surprised 0.6%

AWS Rekognition

Age 18-24
Gender Male, 95.7%
Calm 77.4%
Confused 12.1%
Sad 8.5%
Fear 0.7%
Happy 0.5%
Angry 0.3%
Disgusted 0.2%
Surprised 0.2%

AWS Rekognition

Age 19-27
Gender Female, 70.5%
Happy 49.8%
Calm 34.3%
Sad 8%
Angry 2%
Fear 1.9%
Confused 1.7%
Disgusted 1.6%
Surprised 0.8%

AWS Rekognition

Age 31-41
Gender Male, 91.7%
Calm 90.2%
Fear 2.2%
Sad 1.9%
Happy 1.8%
Surprised 1.5%
Disgusted 1.1%
Angry 0.7%
Confused 0.5%

AWS Rekognition

Age 11-19
Gender Female, 90.2%
Sad 43.5%
Calm 30.4%
Angry 13.1%
Confused 6.5%
Happy 2.3%
Disgusted 2.2%
Fear 1.2%
Surprised 0.9%

AWS Rekognition

Age 29-39
Gender Male, 98.4%
Sad 28.4%
Calm 19.5%
Confused 14.7%
Surprised 12.9%
Angry 11.2%
Disgusted 7.1%
Fear 5%
Happy 1.2%

AWS Rekognition

Age 37-45
Gender Female, 82.9%
Calm 56.8%
Sad 34.9%
Confused 2.3%
Disgusted 1.9%
Angry 1.6%
Fear 1.2%
Happy 0.8%
Surprised 0.5%

AWS Rekognition

Age 45-51
Gender Male, 92.8%
Sad 49.8%
Calm 31.6%
Happy 8.1%
Confused 4.4%
Disgusted 3.3%
Angry 1.3%
Surprised 0.8%
Fear 0.6%

AWS Rekognition

Age 24-34
Gender Female, 56.2%
Calm 43.5%
Happy 38.7%
Sad 9.9%
Disgusted 2.3%
Angry 2.1%
Confused 1.3%
Surprised 1.2%
Fear 1.1%

AWS Rekognition

Age 23-31
Gender Male, 84%
Calm 71%
Sad 16.6%
Confused 5.1%
Happy 3.3%
Fear 1.5%
Angry 1%
Disgusted 0.9%
Surprised 0.7%

AWS Rekognition

Age 38-46
Gender Male, 51.7%
Calm 84.4%
Sad 14.1%
Confused 0.5%
Angry 0.3%
Happy 0.3%
Disgusted 0.2%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 19-27
Gender Female, 97.7%
Sad 64%
Confused 15%
Surprised 10.8%
Fear 7.1%
Calm 1.2%
Disgusted 0.8%
Happy 0.7%
Angry 0.4%

AWS Rekognition

Age 18-24
Gender Male, 66.7%
Calm 32.5%
Fear 19.2%
Happy 14.7%
Disgusted 11.7%
Sad 10.7%
Confused 6.1%
Angry 3.3%
Surprised 1.9%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Possible

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Possible

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.2%

Text analysis

Amazon

3005
DELENDER
2005.
hoom
2-5-31
goos. erman may 2-5-31 3005
goos.
DELENDER SALE and
may
erman
and
SALE

Google

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