Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Pittsburgh. H.J. Heinz Company: Bottling Department
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.21

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Pittsburgh. H.J. Heinz Company: Bottling Department

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.21

Machine Generated Data

Tags

Amazon
created on 2022-06-03

Assembly Line 100
Factory 100
Building 100
Person 98.7
Human 98.7
Person 94.3
Person 93.3
Person 92.1
Person 91
Person 89.1
Person 85.9
Person 82.9
Person 81.2
Person 75.3
Person 68.8
Person 64.7
Person 60.7
Manufacturing 56.2

Clarifai
created on 2023-10-29

people 99.9
many 98.9
group 98.3
furniture 98.3
group together 98.2
adult 97.8
man 96.1
woman 94.4
room 94.2
war 92.4
seat 89.3
military 85.6
child 83.3
home 81.8
administration 79.7
leader 78.5
crowd 78.3
chair 78.2
recreation 77.7
street 76.5

Imagga
created on 2022-06-03

classroom 74.2
room 59.4
city 31.6
building 26.1
architecture 25.8
travel 24.6
urban 21.8
sky 21
night 16.9
tourism 16.5
water 14.7
boat 13
light 12.7
landmark 12.6
house 12.5
structure 12.2
famous 12.1
street 12
old 11.8
vacation 11.4
university 11.1
history 10.7
dock 10.7
center 10.6
modern 10.5
landscape 10.4
evening 10.3
construction 10.3
sea 10.2
boats 9.7
bridge 9.4
facility 9.2
transport 9.1
black 9
coast 9
people 8.9
river 8.9
port 8.7
scene 8.6
chair 8.6
skyline 8.5
business 8.5
gymnasium 8.5
park 8.2
tourist 8.2
reflection 8.1
transportation 8.1
trees 8
empty 7.7
summer 7.7
lamp 7.6
roof 7.6
beach 7.6
cityscape 7.6
shop 7.5
town 7.4
historic 7.3
sun 7.2
sunset 7.2
hall 7.2
tower 7.2
work 7.1
athletic facility 7.1

Google
created on 2022-06-03

Art 81.5
Font 77.3
Illustration 66.3
Rectangle 66.1
History 64.3
Room 63.8
Vintage clothing 58.8
Photo caption 58.6
Paper product 57.9
Painting 54.7
Visual arts 53.7
Printmaking 50.6

Microsoft
created on 2022-06-03

text 100
person 72.4
newspaper 67.6
people 58.8
old 52.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 27-37
Gender Female, 63.6%
Calm 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 21-29
Gender Female, 100%
Calm 99%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Confused 0.1%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 31-41
Gender Female, 100%
Calm 89.1%
Surprised 6.4%
Fear 6.1%
Sad 4.5%
Confused 4.1%
Disgusted 0.3%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 22-30
Gender Female, 100%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 35-43
Gender Female, 99.9%
Sad 99.5%
Calm 21.4%
Confused 8.6%
Surprised 6.7%
Fear 6.4%
Disgusted 1.8%
Angry 1.6%
Happy 0.5%

AWS Rekognition

Age 19-27
Gender Female, 99.9%
Sad 99.2%
Calm 33.1%
Fear 6.7%
Surprised 6.6%
Confused 1.5%
Disgusted 0.9%
Angry 0.6%
Happy 0.5%

AWS Rekognition

Age 20-28
Gender Female, 100%
Sad 100%
Surprised 6.4%
Fear 5.9%
Calm 0.9%
Disgusted 0.7%
Confused 0.4%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 16-24
Gender Female, 97.8%
Calm 78.2%
Sad 20.1%
Surprised 6.4%
Fear 6%
Happy 2.7%
Confused 0.8%
Disgusted 0.4%
Angry 0.3%

AWS Rekognition

Age 22-30
Gender Female, 94.7%
Sad 99.9%
Calm 20.1%
Surprised 7%
Fear 6%
Confused 1.5%
Disgusted 0.9%
Angry 0.6%
Happy 0.3%

AWS Rekognition

Age 20-28
Gender Female, 77.7%
Sad 72.6%
Calm 44.9%
Disgusted 16.9%
Surprised 6.5%
Fear 6%
Confused 2%
Angry 1.3%
Happy 0.5%

AWS Rekognition

Age 23-31
Gender Female, 98.6%
Sad 100%
Surprised 6.3%
Fear 6.1%
Calm 2.9%
Disgusted 0.4%
Happy 0.3%
Confused 0.2%
Angry 0.1%

AWS Rekognition

Age 30-40
Gender Female, 98.4%
Calm 76.1%
Sad 9.7%
Surprised 6.7%
Fear 6.1%
Disgusted 5.1%
Angry 2.7%
Happy 2.7%
Confused 0.8%

AWS Rekognition

Age 2-10
Gender Male, 76%
Calm 97.6%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Disgusted 0.7%
Angry 0.3%
Happy 0.2%
Confused 0.1%

AWS Rekognition

Age 31-41
Gender Female, 79.9%
Calm 93.4%
Surprised 6.6%
Fear 6%
Sad 3.1%
Confused 1.5%
Disgusted 0.7%
Angry 0.5%
Happy 0.4%

AWS Rekognition

Age 2-8
Gender Female, 65.5%
Calm 97.8%
Surprised 6.3%
Fear 5.9%
Sad 2.6%
Angry 0.3%
Happy 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 19-27
Gender Male, 86.9%
Calm 96.6%
Surprised 6.4%
Fear 6%
Sad 2.5%
Angry 0.8%
Confused 0.5%
Happy 0.4%
Disgusted 0.3%

AWS Rekognition

Age 21-29
Gender Female, 100%
Disgusted 42.2%
Calm 25.5%
Surprised 15.9%
Confused 9.2%
Fear 6.4%
Sad 5.1%
Angry 2.9%
Happy 0.6%

AWS Rekognition

Age 19-27
Gender Female, 54.5%
Calm 88.9%
Surprised 7.2%
Fear 6.2%
Disgusted 3%
Confused 3%
Sad 2.5%
Happy 0.8%
Angry 0.7%

AWS Rekognition

Age 21-29
Gender Female, 100%
Sad 99.5%
Calm 22.7%
Surprised 6.7%
Fear 6.1%
Confused 5%
Disgusted 4.9%
Angry 1.8%
Happy 0.4%

AWS Rekognition

Age 18-26
Gender Female, 75.7%
Calm 80.7%
Sad 12.8%
Surprised 6.5%
Fear 6.1%
Confused 1.7%
Happy 1.1%
Angry 1%
Disgusted 1%

AWS Rekognition

Age 9-17
Gender Female, 89.2%
Calm 88.1%
Fear 6.9%
Surprised 6.6%
Sad 3.2%
Happy 2.2%
Angry 1.6%
Disgusted 1.1%
Confused 1%

AWS Rekognition

Age 6-12
Gender Female, 98.2%
Sad 84.6%
Angry 21.3%
Calm 14.7%
Happy 11.5%
Fear 8.2%
Surprised 7.1%
Disgusted 3.7%
Confused 3%

AWS Rekognition

Age 18-24
Gender Female, 76.7%
Calm 56.2%
Sad 47%
Happy 7.6%
Surprised 7.1%
Fear 6.6%
Confused 3.1%
Angry 2.7%
Disgusted 1.2%

AWS Rekognition

Age 13-21
Gender Male, 94.5%
Calm 80.7%
Surprised 7.6%
Angry 6.2%
Fear 6.2%
Sad 3.9%
Confused 2%
Happy 2%
Disgusted 1.4%

AWS Rekognition

Age 51-59
Gender Male, 98.2%
Calm 67.9%
Sad 42.6%
Surprised 6.5%
Fear 6.1%
Angry 2.4%
Disgusted 1.8%
Confused 1.6%
Happy 0.5%

AWS Rekognition

Age 28-38
Gender Female, 50.2%
Happy 93.1%
Surprised 6.6%
Fear 6%
Calm 3.9%
Sad 2.5%
Angry 0.5%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 19-27
Gender Female, 97.3%
Calm 92.1%
Surprised 6.4%
Fear 6.2%
Sad 3.6%
Happy 1.2%
Disgusted 0.9%
Angry 0.5%
Confused 0.5%

AWS Rekognition

Age 30-40
Gender Male, 95.1%
Calm 51.6%
Happy 25.8%
Surprised 8.2%
Angry 6.7%
Fear 6.5%
Sad 3.8%
Disgusted 3.3%
Confused 3.3%

AWS Rekognition

Age 6-12
Gender Male, 81%
Calm 79.2%
Angry 14.1%
Surprised 6.4%
Fear 6.4%
Sad 3.1%
Confused 1.5%
Disgusted 0.5%
Happy 0.5%

AWS Rekognition

Age 18-24
Gender Female, 69.3%
Calm 86.4%
Surprised 6.8%
Fear 6.3%
Happy 4%
Sad 3.1%
Angry 2.7%
Disgusted 1.2%
Confused 1%

AWS Rekognition

Age 6-12
Gender Male, 99.5%
Fear 75.2%
Calm 24.5%
Surprised 6.6%
Sad 5.5%
Happy 4.7%
Angry 3.4%
Confused 1.3%
Disgusted 0.8%

AWS Rekognition

Age 16-22
Gender Female, 92.3%
Calm 58.9%
Sad 34.4%
Angry 10.5%
Surprised 8%
Fear 6.3%
Disgusted 2.6%
Happy 0.9%
Confused 0.6%

AWS Rekognition

Age 13-21
Gender Male, 86.7%
Happy 74.4%
Calm 18.9%
Surprised 6.7%
Fear 6.2%
Sad 3.3%
Disgusted 0.8%
Angry 0.7%
Confused 0.3%

AWS Rekognition

Age 16-24
Gender Female, 70.6%
Calm 91.9%
Fear 6.6%
Surprised 6.5%
Sad 2.9%
Happy 1.3%
Disgusted 1%
Confused 1%
Angry 0.5%

AWS Rekognition

Age 18-26
Gender Male, 91.3%
Calm 85.1%
Surprised 6.8%
Fear 6.1%
Happy 5.5%
Sad 3.8%
Angry 2.4%
Disgusted 0.9%
Confused 0.5%

AWS Rekognition

Age 18-26
Gender Female, 83.1%
Calm 32.3%
Fear 20.9%
Sad 19.5%
Surprised 18.7%
Happy 8.1%
Angry 3%
Disgusted 3%
Confused 1%

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

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

Feature analysis

Amazon

Person 98.7%

Categories

Imagga

interior objects 78.2%
food drinks 5.7%
streetview architecture 5.2%
paintings art 5.2%
text visuals 3.7%

Text analysis

Amazon

DEPARTMENT
BOTTLING DEPARTMENT
BOTTLING

Google

00000 2000 BOTTLING DEPARTMENT الالت hem 209.85 15.
00000
2000
BOTTLING
DEPARTMENT
الالت
hem
209.85
15
.