Human Generated Data

Title

Untitled (men sitting at long tales at Federal Shipbuilding restaurant, Kearny, NJ)

Date

1936

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, 4.2002.12051

Copyright

© Estate of Joseph Janney Steinmetz

Human Generated Data

Title

Untitled (men sitting at long tales at Federal Shipbuilding restaurant, Kearny, NJ)

People

Artist: Joseph Janney Steinmetz, American 1905 - 1985

Date

1936

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12051

Copyright

© Estate of Joseph Janney Steinmetz

Machine Generated Data

Tags

Amazon
created on 2022-01-15

Person 99.8
Human 99.8
Person 96.1
Person 95.8
Person 92.2
Person 92.2
Person 88.8
Person 88.3
Chair 87.9
Furniture 87.9
Clothing 86.9
Apparel 86.9
Person 86.2
Person 85.7
Person 85
Person 84.2
Person 83.1
Building 81.1
Person 77
Sailor Suit 74
Crowd 72.8
Shorts 70.3
Person 69.5
Person 65.7
Person 63.5
People 62.3
Person 62.2
Outdoors 58.1
Hat 57
Cafeteria 56.1
Restaurant 56.1
Girl 56
Female 56
Audience 55.5
Hall 55.2
Indoors 55.2

Clarifai
created on 2023-10-26

people 99.7
many 99
group together 97.7
man 96.5
group 96.4
adult 95.9
crowd 95.5
indoors 93
audience 90.1
administration 90
woman 88.7
monochrome 86
child 82.7
leader 81.2
seat 80
music 79.4
chair 78.2
uniform 77.5
recreation 76.1
education 75

Imagga
created on 2022-01-15

steel drum 38.3
percussion instrument 36.5
musical instrument 28
landscape 23
sky 20.4
tree 17.8
architecture 16.5
travel 16.2
city 15.8
old 15.3
outdoor 15.3
snow 14.8
building 13.7
house 13.4
winter 12.8
water 12.7
tourism 12.4
park 12.3
summer 12.2
season 11.7
scenic 11.4
cold 11.2
sea 10.9
scenery 10.8
new 10.5
sun 10.5
structure 10.3
canvas tent 10.3
center 10.1
light 10
vacation 9.8
trees 9.8
rural 9.7
day 9.4
umbrella 9.3
beach 9.3
transportation 9
roof 8.9
sand 8.7
scene 8.6
grunge 8.5
color 8.3
coast 8.1
mountain 8
village 8
holiday 7.9
urban 7.9
cloud 7.7
stone 7.7
empty 7.7
construction 7.7
clouds 7.6
vacations 7.5
wood 7.5
traditional 7.5
street 7.4
lake 7.3
countryside 7.3
group 7.2
road 7.2
river 7.1
night 7.1
country 7

Google
created on 2022-01-15

Microsoft
created on 2022-01-15

text 94.4
outdoor 89.2
people 64.3
group 56.9
crowd 28.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 50-58
Gender Male, 99.5%
Happy 30.8%
Confused 27.7%
Calm 23.2%
Sad 15%
Surprised 1%
Disgusted 0.8%
Fear 0.8%
Angry 0.7%

AWS Rekognition

Age 22-30
Gender Male, 96.9%
Calm 48.2%
Confused 29.3%
Surprised 7.1%
Fear 5.7%
Sad 4.1%
Disgusted 2.1%
Angry 1.8%
Happy 1.6%

AWS Rekognition

Age 23-33
Gender Male, 95.2%
Happy 82.8%
Sad 7%
Calm 4.5%
Confused 1.6%
Fear 1.3%
Angry 1.1%
Surprised 0.9%
Disgusted 0.6%

AWS Rekognition

Age 9-17
Gender Male, 95.3%
Calm 81.9%
Happy 6.4%
Confused 4.1%
Surprised 2.9%
Sad 2.4%
Disgusted 1.2%
Fear 0.6%
Angry 0.5%

AWS Rekognition

Age 54-62
Gender Male, 95.6%
Calm 99.9%
Sad 0.1%
Surprised 0%
Confused 0%
Disgusted 0%
Angry 0%
Happy 0%
Fear 0%

AWS Rekognition

Age 31-41
Gender Male, 99.8%
Calm 81.9%
Sad 9.5%
Confused 4.2%
Surprised 2%
Happy 0.8%
Disgusted 0.7%
Fear 0.5%
Angry 0.4%

AWS Rekognition

Age 25-35
Gender Male, 95%
Happy 55%
Calm 31.1%
Angry 5.3%
Sad 2.9%
Confused 2.4%
Surprised 1.4%
Disgusted 1.3%
Fear 0.6%

AWS Rekognition

Age 24-34
Gender Male, 98.7%
Sad 87.2%
Confused 5.6%
Calm 5.5%
Happy 0.5%
Disgusted 0.4%
Surprised 0.3%
Angry 0.3%
Fear 0.2%

AWS Rekognition

Age 21-29
Gender Male, 98.4%
Confused 56.4%
Calm 18.1%
Sad 13.3%
Happy 6.2%
Disgusted 1.6%
Surprised 1.5%
Fear 1.5%
Angry 1.4%

AWS Rekognition

Age 23-33
Gender Male, 95.3%
Fear 29.5%
Sad 26.3%
Happy 21.7%
Disgusted 7.2%
Angry 6%
Calm 4%
Confused 2.7%
Surprised 2.6%

AWS Rekognition

Age 23-31
Gender Male, 72.7%
Sad 86.5%
Calm 8.8%
Happy 1.5%
Fear 1.1%
Confused 0.7%
Disgusted 0.6%
Surprised 0.4%
Angry 0.4%

AWS Rekognition

Age 19-27
Gender Female, 60.6%
Calm 91.9%
Sad 3.7%
Angry 1.6%
Confused 0.8%
Happy 0.8%
Fear 0.7%
Surprised 0.3%
Disgusted 0.3%

AWS Rekognition

Age 51-59
Gender Male, 99.3%
Calm 66.4%
Happy 13.3%
Disgusted 7.2%
Confused 4.9%
Sad 3.3%
Surprised 2.6%
Angry 1.7%
Fear 0.7%

AWS Rekognition

Age 6-16
Gender Male, 91.7%
Calm 56.3%
Confused 18.2%
Fear 8.4%
Happy 3.9%
Disgusted 3.6%
Surprised 3.6%
Sad 3.5%
Angry 2.5%

AWS Rekognition

Age 18-26
Gender Female, 51.4%
Sad 48.8%
Confused 28.7%
Calm 16.9%
Happy 1.7%
Fear 1.5%
Surprised 1.1%
Disgusted 0.8%
Angry 0.4%

AWS Rekognition

Age 36-44
Gender Male, 99.7%
Calm 40.1%
Sad 21.9%
Fear 19.1%
Happy 6.2%
Surprised 6.1%
Confused 3.3%
Disgusted 2.2%
Angry 1.2%

AWS Rekognition

Age 23-33
Gender Male, 86.8%
Sad 89.2%
Calm 3.9%
Fear 3%
Confused 2.8%
Happy 0.4%
Angry 0.3%
Surprised 0.2%
Disgusted 0.2%

AWS Rekognition

Age 22-30
Gender Female, 51.8%
Calm 93.6%
Sad 3.9%
Happy 1.1%
Disgusted 0.3%
Confused 0.3%
Surprised 0.3%
Angry 0.2%
Fear 0.2%

AWS Rekognition

Age 40-48
Gender Male, 98.3%
Confused 70.8%
Happy 11.4%
Calm 7.1%
Sad 6%
Angry 1.5%
Surprised 1.1%
Disgusted 1.1%
Fear 1.1%

AWS Rekognition

Age 26-36
Gender Male, 99.8%
Calm 69.9%
Angry 11.1%
Happy 7.8%
Sad 5%
Fear 2.9%
Surprised 1.6%
Disgusted 1.2%
Confused 0.4%

AWS Rekognition

Age 26-36
Gender Male, 90.7%
Sad 66.3%
Calm 30.9%
Fear 0.8%
Angry 0.7%
Disgusted 0.5%
Confused 0.4%
Surprised 0.2%
Happy 0.2%

Feature analysis

Amazon

Person 99.8%

Categories

Text analysis

Amazon

ن
MJI7
ن 1
1

Google

Lorehat
Lorehat