Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio.: The Suggestion System: Awarding Prizes
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, 3.2002.328.A.5

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio.: The Suggestion System: Awarding Prizes

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, 3.2002.328.A.5

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Clothing 99.5
Apparel 99.5
Person 98.6
Human 98.6
Person 93.1
Person 87.6
Person 86.8
Person 86.4
Person 86.3
Person 86
Person 85.6
Hardhat 83.9
Helmet 83.9
Tent 81.8
Person 80
Person 79.4
Person 79.1
Person 77
Person 76.9
People 76.7
Person 75.7
Person 74.5
Crowd 74.2
Hat 71.2
Stage 70.5
Person 70.3
Person 70.3
Person 68.9
Person 67.6
Person 67
Person 65.8
Person 64.4
Person 63.7
Person 63.7
Person 62.4
Person 61.8
Funeral 61.7
Military 56.5
Military Uniform 55.4
Person 44.5
Person 43.7

Imagga
created on 2022-06-25

stage 100
platform 92.3
people 20.6
man 16.9
person 16.6
hall 16.4
group 15.3
sky 15.3
travel 13.4
men 12.9
light 12.8
crowd 12.5
night 12.4
male 12
silhouette 11.6
music 10.8
black 10.8
hand 10.6
classroom 10.6
education 10.4
water 10
room 9.9
school 9.7
party 9.5
youth 9.4
event 9.2
city 9.1
old 9
summer 9
religion 9
outdoors 9
concert 8.7
architecture 8.6
teacher 8.6
orange 8.4
house 8.4
tourism 8.2
life 8.2
student 8.2
landscape 8.2
natural 8
celebration 8
class 7.7
culture 7.7
human 7.5
building 7.5
entertainment 7.4
sun 7.2
success 7.2
color 7.2
sunlight 7.1
center 7

Google
created on 2022-06-25

Black 89.6
Style 84.1
Crowd 79.8
Monochrome 77.2
Suit 76.7
Event 74.6
Monochrome photography 72.9
Tree 71.3
Pole 70.9
Vintage clothing 70.8
Stage 67.9
History 67.4
Audience 66.2
Hat 60.5
Art 55.3
Public event 53.9
Chair 50.8
Flag 50.1

Microsoft
created on 2022-06-25

old 96.5
person 91.6
white 90.5
black 90
outdoor 88.9
funeral 73.6
people 70.8
group 70.1
text 68.1
posing 45.1
vintage 41.8
crowd 24.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-33
Gender Male, 93.2%
Sad 84.3%
Calm 43.1%
Confused 10.4%
Surprised 8.1%
Fear 6.2%
Angry 1.7%
Happy 1.4%
Disgusted 0.7%

AWS Rekognition

Age 23-33
Gender Male, 99.4%
Calm 65%
Sad 14.5%
Fear 12%
Surprised 6.5%
Happy 3.6%
Disgusted 2.3%
Angry 2%
Confused 0.7%

AWS Rekognition

Age 49-57
Gender Male, 99.7%
Sad 76.8%
Calm 55.8%
Surprised 7.5%
Fear 6.2%
Confused 1.7%
Disgusted 1.6%
Happy 1.5%
Angry 1%

AWS Rekognition

Age 21-29
Gender Female, 61.4%
Calm 56.2%
Fear 39.9%
Surprised 6.6%
Sad 2.9%
Happy 2.6%
Disgusted 1.4%
Confused 1.1%
Angry 0.6%

AWS Rekognition

Age 23-33
Gender Male, 81.1%
Fear 94.6%
Surprised 7%
Disgusted 4.9%
Sad 3.5%
Calm 2.8%
Happy 1.7%
Angry 1.4%
Confused 0.4%

AWS Rekognition

Age 23-31
Gender Female, 79.5%
Angry 43.8%
Sad 21.8%
Happy 14.2%
Calm 11.8%
Surprised 7.6%
Fear 7.1%
Disgusted 4.4%
Confused 2.5%

AWS Rekognition

Age 2-8
Gender Female, 85.4%
Calm 73.3%
Surprised 8.1%
Angry 7.4%
Fear 6.4%
Sad 6.2%
Happy 4.2%
Disgusted 1.5%
Confused 1.2%

AWS Rekognition

Age 35-43
Gender Male, 99.5%
Happy 54.9%
Angry 23.9%
Surprised 8.6%
Calm 8.4%
Fear 7%
Sad 2.9%
Disgusted 2%
Confused 1.9%

AWS Rekognition

Age 24-34
Gender Female, 50.9%
Sad 100%
Calm 9.5%
Surprised 6.4%
Fear 6.1%
Disgusted 0.9%
Confused 0.7%
Happy 0.4%
Angry 0.4%

AWS Rekognition

Age 24-34
Gender Male, 99.1%
Calm 57.6%
Sad 22.5%
Angry 20.8%
Surprised 6.5%
Fear 6%
Happy 1.1%
Confused 0.9%
Disgusted 0.6%

AWS Rekognition

Age 24-34
Gender Male, 98.6%
Calm 75.9%
Fear 12.1%
Surprised 7.1%
Angry 4.7%
Sad 3.2%
Happy 1.1%
Confused 1.1%
Disgusted 0.8%

AWS Rekognition

Age 6-16
Gender Male, 57.7%
Sad 89.3%
Calm 39.7%
Surprised 7.9%
Angry 7%
Fear 6.3%
Confused 5%
Disgusted 1.8%
Happy 0.9%

AWS Rekognition

Age 1-7
Gender Female, 63.5%
Calm 61.1%
Surprised 14.1%
Happy 7.3%
Fear 7.1%
Confused 6.5%
Disgusted 6.2%
Angry 3.5%
Sad 2.9%

AWS Rekognition

Age 23-31
Gender Male, 64.2%
Disgusted 92.3%
Surprised 6.5%
Fear 6%
Sad 3.3%
Calm 1.9%
Happy 1%
Angry 0.7%
Confused 0.2%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Disgusted 67.9%
Surprised 8.8%
Fear 6.8%
Calm 6.4%
Confused 5.8%
Sad 5.7%
Angry 3.3%
Happy 2.9%

AWS Rekognition

Age 6-16
Gender Male, 96%
Calm 26.2%
Fear 20.5%
Sad 19.7%
Happy 17.2%
Surprised 8.5%
Angry 8.1%
Disgusted 4.9%
Confused 1.6%

AWS Rekognition

Age 6-14
Gender Male, 91.1%
Calm 87.5%
Angry 6.8%
Surprised 6.4%
Fear 6.2%
Sad 2.3%
Happy 1.8%
Disgusted 1.4%
Confused 0.8%

AWS Rekognition

Age 21-29
Gender Male, 91.2%
Sad 99.3%
Calm 20.5%
Surprised 6.6%
Fear 6.5%
Confused 6.3%
Angry 6.1%
Disgusted 2.1%
Happy 0.9%

AWS Rekognition

Age 24-34
Gender Female, 87.6%
Sad 59%
Calm 41.9%
Fear 9.7%
Surprised 9%
Confused 8.1%
Happy 3.1%
Angry 2.8%
Disgusted 2.1%

AWS Rekognition

Age 10-18
Gender Male, 90.9%
Sad 94.3%
Calm 29.8%
Surprised 8.4%
Fear 6.7%
Happy 6.2%
Angry 4.5%
Confused 4.3%
Disgusted 3.1%

AWS Rekognition

Age 6-14
Gender Male, 89.1%
Calm 68.8%
Happy 25.8%
Surprised 6.5%
Fear 6.1%
Sad 3.4%
Disgusted 0.5%
Angry 0.4%
Confused 0.4%

AWS Rekognition

Age 22-30
Gender Male, 99.4%
Calm 87.9%
Surprised 7.4%
Fear 6.2%
Sad 2.8%
Happy 2.8%
Angry 2.6%
Confused 1.1%
Disgusted 0.6%

AWS Rekognition

Age 18-24
Gender Male, 90.7%
Calm 93.6%
Surprised 6.3%
Fear 6.1%
Sad 4.4%
Angry 0.2%
Happy 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 9-17
Gender Male, 98%
Calm 85.4%
Happy 10.7%
Surprised 6.3%
Fear 5.9%
Sad 2.8%
Confused 0.7%
Disgusted 0.7%
Angry 0.2%

AWS Rekognition

Age 14-22
Gender Male, 79.2%
Calm 71.3%
Sad 10.4%
Surprised 7.1%
Fear 6.9%
Angry 4.3%
Confused 4.1%
Disgusted 3.7%
Happy 0.7%

AWS Rekognition

Age 18-24
Gender Female, 67.8%
Sad 73.6%
Calm 37.8%
Confused 19.4%
Surprised 8%
Fear 6.5%
Happy 1.5%
Disgusted 1.4%
Angry 1.4%

AWS Rekognition

Age 11-19
Gender Male, 60.3%
Happy 73.6%
Fear 13.2%
Calm 8.6%
Surprised 6.9%
Sad 2.5%
Disgusted 0.9%
Angry 0.6%
Confused 0.6%

AWS Rekognition

Age 6-12
Gender Female, 98.3%
Calm 54.8%
Fear 16.4%
Surprised 8.8%
Angry 7.1%
Sad 5.2%
Disgusted 4.4%
Happy 3%
Confused 2.9%

AWS Rekognition

Age 21-29
Gender Male, 54.7%
Happy 42.9%
Calm 32.3%
Fear 12.6%
Surprised 9.5%
Sad 3.2%
Disgusted 1.5%
Confused 1.4%
Angry 1.3%

AWS Rekognition

Age 18-26
Gender Male, 76.2%
Calm 82.1%
Fear 8.8%
Surprised 7.2%
Sad 3.1%
Happy 2.4%
Disgusted 2.4%
Confused 1.5%
Angry 0.5%

AWS Rekognition

Age 24-34
Gender Male, 76.5%
Happy 81.7%
Calm 11.4%
Surprised 6.4%
Fear 6%
Sad 4%
Confused 1%
Angry 0.4%
Disgusted 0.4%

AWS Rekognition

Age 40-48
Gender Male, 79.5%
Sad 98.5%
Calm 24.3%
Confused 9.1%
Surprised 7.2%
Fear 6.6%
Angry 3.1%
Happy 2.4%
Disgusted 1.4%

AWS Rekognition

Age 21-29
Gender Male, 98%
Calm 58.2%
Disgusted 16.8%
Fear 8%
Happy 6.9%
Surprised 6.7%
Sad 4.8%
Angry 3.7%
Confused 2.8%

AWS Rekognition

Age 43-51
Gender Male, 98.7%
Happy 42%
Calm 18.3%
Fear 12.2%
Surprised 10.2%
Disgusted 9%
Sad 5.6%
Confused 3.7%
Angry 2%

AWS Rekognition

Age 16-24
Gender Male, 96.7%
Sad 100%
Calm 7.8%
Surprised 6.6%
Fear 6.2%
Confused 1.6%
Happy 0.8%
Disgusted 0.6%
Angry 0.4%

AWS Rekognition

Age 4-10
Gender Male, 97.6%
Calm 98.2%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Angry 0.5%
Disgusted 0.4%
Happy 0.1%
Confused 0.1%

Feature analysis

Amazon

Person 98.6%
Tent 81.8%

Categories

Imagga

streetview architecture 96.5%
paintings art 1.6%