Human Generated Data

Title

Untitled (auditorium seated with women at appliance promotional)
Date

1952-1957
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6377

Human Generated Data

Title

Untitled (auditorium seated with women at appliance promotional)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1952-1957

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6377

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Audience 100
Human 100
Crowd 100
Person 98.7
Person 97.9
Person 95
Person 94.6
Person 85.1
Person 81.7
Person 74.7
People 72.7
Person 72.3
Speech 71.9
Indoors 70.6
Person 68.6
Photography 68
Face 68
Photo 68
Portrait 68
Lecture 59.7
Room 59
Classroom 59
School 59
Seminar 57
Interior Design 55.1

Clarifai
created on 2019-03-22

crowd 99.8
many 99.8
people 99.7
audience 99.5
group together 99.4
group 98.4
man 96.5
spectator 95.2
adult 93.6
sports fan 88.9
woman 88.1
leader 87.5
recreation 86.8
meeting 86.7
chair 86.7
music 85.6
outlined 85.5
concert 83.8
sitting 83.5
war 83.1

Imagga
created on 2019-03-22

spectator 40
classroom 33.4
room 31.6
group 20.1
crowd 18.2
city 16.6
people 16.2
travel 15.5
landscape 13.4
pattern 13
disco 12.1
texture 11.1
blackboard 10.8
water 10.7
surface 10.6
business 10.3
men 10.3
event 10.2
architecture 10.1
building 10.1
silhouette 9.9
modern 9.8
aerial 9.7
urban 9.6
person 9.6
design 9.6
hall 9.5
row 9.3
entrepreneur 9.2
walking 8.5
cityscape 8.5
male 8.5
bird 8.4
old 8.4
town 8.3
teamwork 8.3
art 8.3
stage 8.2
rough 8.2
success 8
women 7.9
standing 7.8
sea 7.8
rock 7.8
black 7.8
audience 7.8
student 7.6
ballroom 7.6
outdoors 7.5
street 7.4
new 7.3
structure 7.2
holiday 7.2
summer 7.1
sky 7
textured 7

Google
created on 2019-03-22

Photograph 96.7
People 94.5
Crowd 94.4
Snapshot 82
Black-and-white 78.1
Photography 75.7
Event 67
Stock photography 65.4
Audience 62.2

Microsoft
created on 2019-03-22

person 99.9
posing 86.8
people 81.3
white 74.7
group 74.4
black 71.6
crowd 69.3
player 64.5
team 28.5
commencement 28.5
event 2.9
research 2.3
music 2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.6%
Disgusted 49.9%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52.4%
Sad 46.4%
Disgusted 45.3%
Calm 52.2%
Surprised 45.3%
Confused 45.3%
Angry 45.4%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Male, 51.3%
Disgusted 45.1%
Angry 45.3%
Confused 45.2%
Sad 47.4%
Calm 51.1%
Happy 45.8%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Sad 46.2%
Calm 50.2%
Happy 45.4%
Angry 45.8%
Disgusted 45.2%
Surprised 47%
Confused 45.3%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Angry 45.3%
Happy 46.2%
Surprised 45.3%
Confused 45.4%
Calm 51.4%
Disgusted 45.1%
Sad 46.2%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.5%
Surprised 49.5%
Happy 49.7%
Disgusted 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 50.2%
Sad 49.7%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 45-66
Gender Female, 51.9%
Happy 45.6%
Surprised 45.3%
Confused 45.3%
Calm 52.8%
Angry 45.3%
Disgusted 45.3%
Sad 45.4%

AWS Rekognition

Age 38-59
Gender Male, 54.4%
Happy 45.4%
Disgusted 45.2%
Sad 45.4%
Angry 45.4%
Calm 53.2%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.6%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Calm 49.9%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Surprised 49.5%
Happy 49.6%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.6%
Calm 50.2%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Happy 49.5%
Sad 50.2%
Calm 49.6%
Confused 49.6%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Calm 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.5%
Happy 50%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 49.5%
Sad 50%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.6%
Angry 49.6%
Confused 49.5%
Calm 50.1%
Sad 49.6%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Happy 49.5%
Sad 50.2%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Disgusted 45.3%
Calm 52%
Surprised 45.2%
Happy 45.1%
Sad 46.5%
Confused 45.2%
Angry 45.6%

AWS Rekognition

Age 35-52
Gender Male, 50%
Sad 50.1%
Disgusted 49.6%
Angry 49.7%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-53
Gender Female, 52.4%
Surprised 45.7%
Disgusted 46.3%
Sad 49.1%
Happy 45.6%
Angry 45.9%
Confused 46.5%
Calm 45.9%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.9%
Happy 49.6%
Calm 49.9%
Sad 49.6%
Angry 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Happy 45.1%
Sad 45.2%
Disgusted 45.7%
Confused 45.1%
Surprised 45.3%
Angry 45.2%
Calm 53.4%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.7%
Angry 49.5%
Confused 49.6%
Calm 50.2%

AWS Rekognition

Age 27-44
Gender Male, 50%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 50.1%
Surprised 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.6%
Sad 50.1%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 45-63
Gender Male, 54.7%
Angry 45.3%
Calm 46%
Disgusted 45%
Confused 45.3%
Sad 53%
Happy 45.2%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 46.1%
Confused 46%
Sad 48.9%
Surprised 45.9%
Calm 46.1%
Angry 46.5%
Happy 45.6%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Disgusted 49.7%
Happy 49.7%
Sad 49.9%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.5%
Calm 49.8%
Confused 49.5%
Disgusted 49.6%
Sad 49.6%
Surprised 49.6%
Angry 49.7%

AWS Rekognition

Age 35-55
Gender Male, 50.1%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Calm 50.1%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 50.1%
Confused 49.5%
Calm 49.5%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Male, 54.5%
Angry 45.3%
Happy 45.1%
Confused 45.1%
Sad 45.2%
Surprised 45.1%
Calm 54%
Disgusted 45.1%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50.4%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.2%
Sad 49.8%
Angry 49.8%
Calm 49.7%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.7%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.5%
Happy 49.9%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.8%
Disgusted 45.1%
Calm 45.7%
Angry 45.4%
Sad 53.5%
Happy 45.1%
Confused 45.2%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.6%
Surprised 49.5%
Calm 49.9%
Angry 49.6%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 50.5%
Happy 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 50.2%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 49.7%
Surprised 49.5%
Disgusted 49.6%
Angry 49.6%
Calm 50%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.7%
Calm 50%
Confused 49.5%
Angry 49.5%
Sad 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 57-77
Gender Female, 50.1%
Happy 49.8%
Sad 49.6%
Calm 50.1%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Sad 49.7%
Angry 49.6%
Calm 50%
Surprised 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 49.6%
Surprised 49.6%
Disgusted 49.5%
Sad 49.6%
Calm 50.1%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Surprised 49.5%
Disgusted 50.4%
Sad 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Sad 49.7%
Happy 49.6%
Surprised 49.7%
Confused 49.7%
Angry 49.6%
Calm 49.7%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.6%
Surprised 49.5%
Calm 50.2%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50.3%
Confused 49.6%
Angry 49.6%
Sad 49.6%
Calm 49.7%
Disgusted 50%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.1%
Confused 49.5%
Calm 49.6%
Disgusted 49.7%
Surprised 49.5%
Sad 50.1%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Happy 49.8%
Sad 50.1%
Disgusted 49.5%
Angry 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Disgusted 50.3%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 50%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.1%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Calm 50.2%
Sad 49.6%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Confused 49.6%
Angry 49.5%
Surprised 49.6%
Sad 49.7%
Happy 49.7%
Disgusted 49.5%
Calm 49.9%

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Angry 49.5%
Happy 49.6%
Surprised 49.6%
Confused 49.5%
Calm 49.8%
Disgusted 50%
Sad 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Surprised 49.6%
Sad 49.8%
Happy 49.7%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 49-69
Gender Male, 50.2%
Happy 49.8%
Confused 49.5%
Disgusted 49.5%
Calm 50.1%
Angry 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 45-63
Gender Male, 51.2%
Disgusted 46.9%
Calm 49.3%
Surprised 45.7%
Happy 45.6%
Sad 46.2%
Confused 45.3%
Angry 46.2%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%
Sad 49.8%
Calm 49.9%
Confused 49.5%
Happy 49.7%

AWS Rekognition

Age 45-63
Gender Male, 50%
Disgusted 49.7%
Happy 49.6%
Calm 49.6%
Sad 49.6%
Angry 49.9%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.2%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 50.4%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.6%
Surprised 49.5%
Happy 49.6%
Sad 50%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 45.5%
Sad 46.5%
Confused 45.6%
Happy 45.3%
Angry 47.3%
Surprised 45.6%
Calm 49.1%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Angry 45.1%
Disgusted 45.2%
Happy 45.5%
Sad 48.3%
Surprised 45.2%
Calm 50.6%
Confused 45.2%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 49.6%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%
Calm 50.1%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 49.6%
Calm 49.8%
Confused 49.5%
Disgusted 49.6%
Sad 50%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 35-55
Gender Male, 51.6%
Sad 46.5%
Happy 45.3%
Surprised 46%
Confused 45.9%
Angry 46%
Calm 50.1%
Disgusted 45.2%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Angry 49.5%
Calm 50%
Surprised 49.6%
Disgusted 49.7%
Happy 49.6%
Confused 49.6%
Sad 49.6%

AWS Rekognition

Age 35-55
Gender Female, 51.2%
Calm 46.4%
Confused 45.3%
Angry 45.3%
Sad 52.2%
Surprised 45.3%
Disgusted 45.1%
Happy 45.4%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.6%
Sad 49.6%
Surprised 49.6%
Disgusted 50%
Angry 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Happy 49.6%
Angry 49.6%
Sad 49.8%
Calm 49.8%
Surprised 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Sad 49.6%
Disgusted 49.5%
Calm 50.2%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Surprised 49.5%
Disgusted 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 57-77
Gender Male, 50.2%
Confused 49.5%
Happy 49.6%
Angry 49.5%
Disgusted 49.6%
Calm 49.7%
Sad 50%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Happy 49.5%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.6%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.7%
Surprised 49.6%
Sad 49.8%
Angry 49.6%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.1%
Sad 46%
Confused 45.5%
Angry 45.3%
Calm 51.7%
Happy 45.8%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Sad 50%
Happy 49.8%
Calm 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.9%
Sad 49.8%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 57-77
Gender Female, 50.4%
Surprised 49.6%
Disgusted 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.8%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Calm 49.6%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 57-77
Gender Female, 53.1%
Disgusted 45.5%
Calm 49.1%
Surprised 45.7%
Happy 46.3%
Sad 46.8%
Confused 45.7%
Angry 45.8%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Disgusted 49.6%
Angry 49.6%
Confused 49.6%
Sad 49.7%
Happy 49.6%
Calm 49.9%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.7%
Disgusted 50%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 51.7%
Disgusted 45.4%
Surprised 45.4%
Angry 46.2%
Sad 46.9%
Calm 46.7%
Confused 45.3%
Happy 49.1%

Feature analysis

Amazon

Person
Person 98.7%
Person 97.9%
Person 95%
Person 94.6%
Person 85.1%
Person 81.7%
Person 74.7%
Person 72.3%
Person 68.6%

Captions

Microsoft
created on 2019-03-22

a group of people standing in front of a crowd posing for the camera 97.8%
a group of people posing for a photo in front of a crowd 97.7%
a group of people in front of a crowd posing for the camera 97.6%

Google Gemini

Created by gemini-2.0-flash-lite on 2025-05-17

Here's a description of the image:

Overall Impression:

The image is a black and white negative of a crowd gathered in an indoor setting. The lighting is somewhat harsh, casting deep shadows. The focus seems to be on the audience, which appears to be largely composed of older individuals.

Details:

  • Audience: The majority of the image is filled with rows of people seated in chairs. They are dressed in various clothing styles, many wearing light-colored jackets or sweaters. Many appear to have hats or head coverings.
  • Setting: The event appears to be indoors, possibly a meeting hall or auditorium. There's a faint suggestion of a stage area or a raised platform in the background.
  • Atmosphere: The atmosphere feels formal and perhaps slightly somber.

Composition:

  • The photographer has captured a wide shot, providing a sense of the size of the crowd.
  • The lines of chairs lead the eye through the image.

Created by gemini-2.0-flash on 2025-05-17

Here is a description of the image:

The image shows a large crowd of people sitting in chairs, presumably attending an event or gathering. The room appears to be indoors, and there's a raised platform or stage area visible at the back where a couple of people stand. The audience is comprised mostly of women who wear hats and coats. The image has a vintage feel and is likely a photograph from the past.