Human Generated Data

Title

Untitled (view from stage of audience members seated in auditorium)
Date

1937
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3984

Human Generated Data

Title

Untitled (view from stage of audience members seated in auditorium)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3984

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Person 98.5
Human 98.5
Person 95.3
Person 94.8
People 92
Clinic 81.8
Crowd 78.9
Hospital 56.1
Operating Theatre 55.6
Workshop 55.3

Clarifai
created on 2019-06-01

people 99.9
many 99.7
group together 99
crowd 98.3
group 97.6
man 95.9
adult 94.1
spectator 93.3
audience 93.1
chair 90.7
music 88.4
administration 81.1
vehicle 80.1
woman 79.6
leader 75.9
ceremony 74.1
wear 66.8
musician 66.7
school 65.5
war 63.1

Imagga
created on 2019-06-01

station 32.2
city 31.6
railway station 29.3
track 25.9
terminal 25
travel 24.6
facility 21.8
urban 20.1
transportation 18.8
architecture 17.3
transport 16.4
building 16.2
train 15.6
sky 15.3
athletic facility 14.7
structure 14
landscape 13.4
football stadium 12.7
vehicle 12.7
vacation 12.3
people 12.3
street 12
tourism 11.5
snow 11.5
speed 11
business 10.9
park 10.9
road 10.8
hall 10.7
water 10.7
crowd 10.6
center 10.5
fast 10.3
motion 10.3
railway 9.8
old 9.8
group 9.7
walking 9.5
stadium 9.5
journey 9.4
world 9.4
car 9.4
winter 9.4
subway 8.9
scenic 8.8
scene 8.7
graffito 8.6
place 8.4
summer 8.4
scenery 8.1
history 8
light 8
river 8
commute 7.9
metro 7.9
railroad 7.9
tourist 7.8
district 7.8
highway 7.7
construction 7.7
flag 7.7
roof 7.6
clouds 7.6
movement 7.5
evening 7.5
outdoors 7.5
lake 7.4
passenger 7.4
line 7.4
historic 7.3
new 7.3
sun 7.2
grass 7.1
trees 7.1
spring 7.1

Google
created on 2019-06-01

Photograph 95.9
Crowd 82
Stadium 80.2
Sport venue 72.6
Stock photography 71.4
Photography 62.4
Black-and-white 56.4

Microsoft
created on 2019-06-01

outdoor 99.4
person 89
white 88.8
people 73.7
old 66.4
crowd 52.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-53
Gender Male, 54%
Disgusted 46.5%
Confused 45.5%
Surprised 45.6%
Calm 46.7%
Happy 47.7%
Angry 45.7%
Sad 47.3%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Angry 45.2%
Sad 46.3%
Disgusted 45.3%
Surprised 45.2%
Happy 45.9%
Calm 52%
Confused 45.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.6%
Calm 49.8%
Happy 49.6%
Sad 49.9%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 50.4%
Sad 49.5%
Happy 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Happy 49.6%
Sad 50%
Confused 49.6%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Male, 50.8%
Surprised 45.1%
Sad 54%
Angry 45.1%
Disgusted 45%
Calm 45.6%
Happy 45%
Confused 45.2%

AWS Rekognition

Age 45-63
Gender Male, 50.1%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Calm 50%
Surprised 49.5%
Disgusted 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.1%
Angry 49.6%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Happy 49.7%
Disgusted 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Sad 50.2%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Calm 49.6%
Disgusted 49.5%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Confused 49.5%
Sad 49.6%
Calm 50.1%
Happy 49.6%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.8%
Disgusted 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.7%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 50.3%
Surprised 49.5%
Sad 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 50.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.6%
Surprised 49.5%
Disgusted 49.6%
Sad 49.9%
Calm 49.7%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 50.1%
Surprised 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Happy 49.5%
Calm 49.6%
Angry 49.6%
Confused 49.6%
Surprised 49.5%
Sad 50%
Disgusted 49.7%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Disgusted 49.7%
Calm 49.8%
Angry 49.5%
Sad 49.8%
Happy 49.5%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.1%
Confused 49.6%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Happy 49.8%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 48-68
Gender Male, 53.9%
Confused 45.1%
Disgusted 45.1%
Calm 53.4%
Angry 45.2%
Sad 45.9%
Happy 45.2%
Surprised 45.1%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Disgusted 49.6%
Sad 49.6%
Happy 49.8%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.9%

AWS Rekognition

Age 45-63
Gender Female, 50.3%
Disgusted 49.6%
Angry 49.7%
Confused 49.5%
Sad 50%
Happy 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.2%
Disgusted 49.5%
Happy 49.9%
Surprised 49.5%
Sad 49.7%
Angry 49.6%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.5%
Angry 49.6%
Surprised 49.6%
Sad 49.6%
Calm 49.9%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Sad 50.2%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.7%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Disgusted 49.5%
Calm 50.1%

AWS Rekognition

Age 60-80
Gender Female, 50.4%
Sad 50.3%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Surprised 49.6%
Calm 49.9%
Disgusted 49.6%
Confused 49.6%
Sad 49.7%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.5%
Sad 49.8%
Surprised 49.6%
Angry 49.6%
Calm 49.7%
Confused 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.6%
Surprised 49.5%
Calm 49.6%
Disgusted 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.5%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 49.6%
Sad 49.6%
Surprised 49.5%
Happy 49.5%
Calm 50%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Sad 49.9%
Surprised 49.5%
Angry 49.5%
Happy 50%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.8%
Happy 49.6%
Sad 49.6%
Calm 49.9%
Angry 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Angry 50.3%
Confused 49.6%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 50.2%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%
Confused 49.5%
Sad 49.8%
Calm 49.9%
Happy 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Surprised 49.5%
Sad 49.6%
Happy 49.6%
Angry 49.5%
Disgusted 49.5%
Confused 49.7%
Calm 50.2%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Angry 49.7%
Sad 49.6%
Disgusted 49.8%
Happy 49.7%
Calm 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Angry 49.5%
Happy 49.5%
Confused 49.6%
Calm 49.9%
Disgusted 49.5%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.7%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.7%
Sad 50.1%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Sad 49.6%
Angry 50.2%

AWS Rekognition

Age 4-9
Gender Male, 50%
Sad 49.8%
Angry 49.6%
Calm 49.9%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Disgusted 49.6%
Sad 49.7%
Calm 49.9%
Confused 49.5%
Surprised 49.5%
Happy 49.7%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50%
Disgusted 49.5%
Confused 49.6%
Sad 49.9%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Calm 49.7%
Disgusted 49.9%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Male, 50.3%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Happy 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.8%
Surprised 49.6%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Disgusted 49.6%
Sad 49.7%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Calm 50%
Confused 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Calm 49.9%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Sad 49.8%
Confused 49.5%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Calm 49.8%
Surprised 49.5%
Sad 49.9%
Confused 49.5%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Calm 49.7%
Angry 49.5%
Surprised 49.5%
Disgusted 50.2%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50%
Sad 49.8%
Angry 49.6%
Disgusted 49.8%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Angry 49.6%
Sad 49.8%
Disgusted 49.5%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.9%
Calm 49.5%
Happy 49.5%
Sad 49.8%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Sad 49.6%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50.4%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.5%
Calm 50.1%
Angry 49.5%
Sad 49.7%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Confused 49.5%
Calm 50.2%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Angry 49.7%
Happy 49.6%
Confused 49.5%
Sad 49.7%
Calm 49.8%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.9%
Happy 49.7%
Surprised 49.6%
Calm 49.6%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.5%
Sad 49.8%
Surprised 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Angry 49.6%
Sad 50%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Happy 49.7%
Confused 49.6%
Surprised 49.6%
Calm 49.9%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Calm 50.2%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.7%
Happy 49.7%
Calm 49.6%
Surprised 49.6%
Sad 49.8%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.7%
Sad 50.2%
Confused 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person
Person 98.5%
Person 95.3%
Person 94.8%

Categories

Imagga

paintings art 87.4%
beaches seaside 7.1%
interior objects 2.4%

Captions

Microsoft
created on 2019-06-01

a group of people standing in front of a crowd 93.2%
a crowd of people standing in front of a building 93.1%
a crowd of people standing in front of a white building 93%

Google Gemini

Created by gemini-2.0-flash-lite on 2025-05-16

Here's a description of the image:

Overall Impression: The image is a high-angle, black and white negative print capturing a large gathering inside a grand hall or auditorium. The style suggests it's an older photograph.

Setting:

  • Interior: The event takes place inside a large, ornate hall.
  • Walls: The walls appear textured or patterned. Two framed portraits hang on the wall, flanked by ribbons.
  • Stage or Platform: In the foreground, there's a slightly curved stage or platform, with some visible detail.
  • Audience Seating: Rows of chairs are arranged to face the stage.
  • Balcony: A balcony is visible at the back of the hall, likely for additional seating.

People:

  • Large Crowd: A significant number of people are present, filling the seating area.
  • Attire: A large portion of the audience is dressed in white, possibly signifying a specific event or occasion. Some wear hats.
  • Activity: People are seated and seem to be focused on the event.

Other Details:

  • Decorations: Ribbons and potentially banners are used to adorn the walls, likely for decoration or marking a special event.
  • Lighting: Hanging lights and possibly other light fixtures are visible.

Overall Tone: The image gives a sense of importance, celebration, and potentially a formal occasion. The negative print adds a unique visual style.

Created by gemini-2.0-flash on 2025-05-16

Here is a description of the image:

The image shows a large group of people seated in what appears to be a theater or auditorium. The room has two large portraits hanging on the walls, adorned with ribbons. Above the main seating area is a balcony section, also decorated with ribbons. The audience is diverse, with people of different ages and wearing various outfits. The image is in a high-contrast black and white style, which gives it a historic feel.