Human Generated Data

Title

Industrial Problems, Conditions: United States. Pennsylvania. Pittsburgh. Pittsburgh Survey: Bad light and piece work.

Date

1907-1908

People

Artist: Lewis Wickes Hine, American 1874 - 1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.332

Human Generated Data

Title

Industrial Problems, Conditions: United States. Pennsylvania. Pittsburgh. Pittsburgh Survey: Bad light and piece work.

People

Artist: Lewis Wickes Hine, American 1874 - 1940

Date

1907-1908

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.332

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Assembly Line 100
Building 100
Factory 100
Person 97.1
Human 97.1
Person 96.6
Person 90.9
Person 87.1
Person 86.7
Person 84.4
Person 77
Person 70.6
Person 67

Imagga
created on 2022-06-04

building 19.2
old 17.4
people 16.7
city 14.9
architecture 14.8
room 13.2
man 12.1
travel 12
history 11.6
vintage 11.6
structure 11.5
black 10.8
classroom 10.3
person 10.2
business 9.7
sculpture 9.7
urban 9.6
sky 9.6
silhouette 9.1
religion 8.9
night 8.9
symbol 8.7
statue 8.7
life 8.6
house 8.3
dark 8.3
web site 8.3
newspaper 8.3
tourism 8.2
hall 8.2
transportation 8.1
light 8
art 8
passenger 8
male 7.8
monument 7.5
smoke 7.4
historic 7.3
center 7.1
day 7.1

Google
created on 2022-06-04

Microsoft
created on 2022-06-04

text 99.4
person 94.3
people 88.2
clothing 83.4
man 72.3
black 68.8
old 67.4
library 67
group 65.3
white 62.4
crowd 43.7

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 19-27
Gender Male, 55%
Angry 47%
Calm 24.3%
Surprised 9.6%
Fear 8.3%
Sad 7.4%
Disgusted 5%
Confused 2.9%
Happy 1%

AWS Rekognition

Age 18-26
Gender Female, 84.6%
Sad 98.4%
Calm 24.2%
Disgusted 13%
Surprised 7.1%
Fear 6.3%
Angry 2.7%
Confused 1.7%
Happy 0.4%

AWS Rekognition

Age 16-24
Gender Male, 84.4%
Calm 85.8%
Surprised 7.3%
Fear 6.1%
Happy 3%
Sad 2.8%
Confused 2.5%
Angry 2.4%
Disgusted 1.8%

AWS Rekognition

Age 9-17
Gender Male, 97.8%
Calm 65.4%
Happy 27.5%
Surprised 6.7%
Fear 6.3%
Sad 2.9%
Angry 1.7%
Confused 0.7%
Disgusted 0.5%

AWS Rekognition

Age 23-31
Gender Female, 82.4%
Calm 97.1%
Surprised 6.5%
Fear 5.9%
Sad 2.3%
Happy 0.7%
Disgusted 0.5%
Angry 0.4%
Confused 0.3%

AWS Rekognition

Age 18-26
Gender Female, 81.2%
Calm 86.7%
Surprised 6.5%
Fear 6.1%
Sad 4.8%
Angry 2.9%
Happy 2.2%
Confused 0.7%
Disgusted 0.6%

AWS Rekognition

Age 16-24
Gender Male, 81.7%
Calm 98.3%
Surprised 6.4%
Fear 6%
Sad 2.2%
Happy 0.4%
Angry 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 6-12
Gender Female, 95.9%
Sad 100%
Surprised 6.3%
Fear 6%
Calm 1.5%
Disgusted 1.1%
Confused 0.9%
Angry 0.4%
Happy 0.2%

AWS Rekognition

Age 19-27
Gender Male, 99.3%
Calm 95.8%
Surprised 6.4%
Fear 5.9%
Sad 2.7%
Angry 1%
Happy 0.5%
Confused 0.4%
Disgusted 0.2%

AWS Rekognition

Age 9-17
Gender Male, 74.4%
Happy 49.6%
Calm 22.9%
Fear 15.6%
Surprised 7.3%
Angry 4.8%
Sad 3.3%
Disgusted 1.2%
Confused 0.3%

AWS Rekognition

Age 18-26
Gender Male, 51.5%
Calm 87.6%
Surprised 6.5%
Fear 6.4%
Sad 3.4%
Happy 3.4%
Disgusted 1.8%
Angry 1.2%
Confused 0.9%

AWS Rekognition

Age 28-38
Gender Male, 98.5%
Happy 52.4%
Calm 38.7%
Surprised 8%
Fear 6.3%
Sad 2.5%
Disgusted 1.6%
Angry 1.3%
Confused 0.7%

AWS Rekognition

Age 18-24
Gender Male, 73.3%
Calm 25.2%
Disgusted 24.1%
Angry 21.7%
Sad 19.8%
Surprised 8.2%
Fear 7.2%
Happy 2.9%
Confused 2.5%

AWS Rekognition

Age 10-18
Gender Male, 87%
Calm 58.9%
Angry 27.6%
Fear 8.5%
Surprised 7%
Sad 3.5%
Confused 1.2%
Happy 0.7%
Disgusted 0.6%

AWS Rekognition

Age 12-20
Gender Female, 92.1%
Calm 79.5%
Angry 12.2%
Fear 6.6%
Surprised 6.4%
Sad 3.8%
Happy 0.8%
Confused 0.7%
Disgusted 0.5%

AWS Rekognition

Age 18-24
Gender Female, 53.5%
Calm 80.4%
Sad 9.3%
Surprised 6.6%
Fear 6.3%
Happy 2.6%
Angry 2.6%
Confused 1.1%
Disgusted 0.8%

Google Vision

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

Feature analysis

Amazon

Person 97.1%

Captions

Azure OpenAI

Created on 2024-01-26

The image depicts an industrial-era workspace where workers are engaged in manual labor, seemingly within a factory setting. Numerous persons are seated at long wooden benches, filled with various types of work materials. The room appears expansive with structural columns, and the interior is illuminated by pendant light fixtures. In the forefront, raw materials loosely arranged seem to be part of the manufacturing process. The environment suggests a somewhat dense atmosphere with minimal spacing between workstations. At the bottom of the photograph, there's also a caption that reads "Bad light and piece work," possibly alluding to the quality of lighting and the nature of the employment structure.

Anthropic Claude

Created on 2024-03-30

The image shows a crowded, dimly lit workshop or factory space. There are many people, mostly women, seated at workstations and benches, engaged in various manual tasks. The room is filled with piles of materials, tools, and unfinished products. The caption below the image states "Bad light and piece work," suggesting that the working conditions in this environment were challenging, with poor lighting and the payment structure incentivizing rapid production over worker wellbeing.

Text analysis

Amazon

light
and
piece
Bad
Bad light and piece work.
work.

Google

Bad light and piece work.
Bad
light
and
piece
work
.