Human Generated Data

Title

Cafe Lafayette

Date

1928

People

Artist: Albert E. Henselmann, German 1890 - 1974

Classification

Paintings

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Mr. and Mrs. Roger Van Nest Powelson, BR71.59

Human Generated Data

Title

Cafe Lafayette

People

Artist: Albert E. Henselmann, German 1890 - 1974

Date

1928

Classification

Paintings

Credit Line

Harvard Art Museums/Busch-Reisinger Museum, Gift of Mr. and Mrs. Roger Van Nest Powelson, BR71.59

Machine Generated Data

Tags

Amazon
created on 2024-06-03

Art 100
Painting 100
Person 97.1
Person 95.9
Adult 95.9
Bride 95.9
Female 95.9
Wedding 95.9
Woman 95.9
Person 95.5
Adult 95.5
Bride 95.5
Female 95.5
Woman 95.5
Person 94.9
Person 94.9
Person 94.8
Person 94.7
Person 94.1
Person 93.9
Person 93.8
Person 93
Person 92.6
Person 92.6
Person 92.5
Person 92.4
Person 92.4
Person 91.6
Person 91.5
Person 91.2
Person 90.6
Person 90.5
Person 90.4
Person 90.3
Person 90.2
Adult 90.2
Male 90.2
Man 90.2
Person 90
Adult 90
Bride 90
Female 90
Woman 90
Person 89.9
Person 89.7
Person 89.7
Person 89.5
Person 89.3
Person 89.3
Person 89.3
Person 89.1
Person 88.7
Person 88.7
Person 88.4
Person 88.4
Person 87.5
Person 87.3
Person 87.2
Person 86.9
Person 86.5
Person 86
Face 85.6
Head 85.6
Person 85.4
Person 84.9
Person 84.9
Adult 84.9
Bride 84.9
Female 84.9
Woman 84.9
Person 84.6
Person 84
Person 83.2
Person 81.4
Person 80.5
Person 80.4
Person 79.7
Person 77.9
Person 77
Person 75.8
Person 72.5
Person 72.2
Person 69.5
Person 69.2
Person 69.2
Person 68.8
Person 66.5
Accessories 66
Formal Wear 66
Tie 66
Person 65.7
Person 64.2
Person 62.7
Drawing 56.4
Person 55.4

Clarifai
created on 2024-06-03

people 99.6
art 99.5
group 99.2
illustration 98.8
many 98.6
adult 98.4
religion 97.8
man 96.6
veil 96.2
woman 96.1
painting 95.4
saint 93.6
Renaissance 90.6
cavalry 89.6
print 86.4
wear 86.3
baby 86.2
god 85.4
kneeling 83.7
furniture 82.7

Imagga
created on 2024-06-03

earthenware 30.5
majolica 30.4
ceramic ware 28.1
art 23.7
decoration 20.5
utensil 19.4
religion 17.9
comic book 17.8
shop 17.2
sculpture 16.5
temple 15.2
case 15.1
antique 14.9
old 14.6
culture 14.5
religious 14
design 13
ancient 13
church 12.9
colorful 12.9
china 12.9
travel 12.7
shoe shop 12.4
gold 12.3
color 11.7
traditional 10.8
worship 10.6
statue 10.4
clock 10.4
graffito 10.3
mercantile establishment 10
wall clock 9.8
porcelain 9.8
style 9.6
window 9.3
tradition 9.2
decorative 9.2
tourism 9.1
painting 9
retro 9
people 8.9
man 8.7
prayer 8.7
toilet seat 8.6
animal 8.6
architecture 8.6
painted 8.6
wall 8.5
oriental 8.5
glass 8.4
fun 8.2
currency 8.1
market 8
artistic 7.8
holy 7.7
spirituality 7.7
grunge 7.7
money 7.6
city 7.5
east 7.5
carving 7.4
vintage 7.4
carousel 7.3
cash 7.3
furniture 7.3
paint 7.2
print media 7.1
interior 7.1
paper 7

Google
created on 2024-06-03

Textile 87.6
Painting 81.4
Art 80.1
Visual arts 69.2
History 68.7
Event 68.1
Mural 66.6
Crowd 65.8
Mythology 65.7
Drawing 64.5
Paint 63.9
Collection 62.2
Illustration 60.3
Holy places 57.1
Middle ages 52
Modern art 50.6
Tourist attraction 50.5

Microsoft
created on 2024-06-03

painting 99.1
art 96
person 94.8
mythology 91.9
museum 91.9
visual arts 89.6
clothing 86.1
indoor 86.1
screen 72.1
people 58.1

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 48-56
Gender Female, 99.5%
Sad 99.9%
Calm 0.4%
Fear 0.1%
Confused 0%
Angry 0%
Surprised 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 13-19
Gender Female, 58.1%
Sad 94.9%
Calm 20.2%
Confused 0.1%
Surprised 0%
Fear 0%
Angry 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 20-28
Gender Female, 99.5%
Calm 85.8%
Sad 5.3%
Confused 2%
Surprised 1%
Fear 0.3%
Angry 0.2%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 26-34
Gender Male, 100%
Angry 62.5%
Confused 31.3%
Surprised 11.1%
Calm 6.4%
Fear 1.3%
Sad 0.3%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 47-55
Gender Female, 99.9%
Calm 74.6%
Sad 15.7%
Happy 0%
Confused 0%
Surprised 0%
Fear 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 28-36
Gender Male, 100%
Fear 57.2%
Angry 40.9%
Calm 1.7%
Happy 0%
Confused 0%
Sad 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 40-48
Gender Male, 99.2%
Sad 100%
Calm 0.1%
Confused 0%
Fear 0%
Angry 0%
Surprised 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 42-50
Gender Male, 100%
Calm 41.8%
Angry 38%
Fear 12.1%
Happy 2.1%
Surprised 1.9%
Confused 0.3%
Sad 0%
Disgusted 0%

AWS Rekognition

Age 16-22
Gender Female, 98.7%
Calm 71.5%
Sad 17.2%
Confused 0%
Fear 0%
Disgusted 0%
Angry 0%
Surprised 0%
Happy 0%

AWS Rekognition

Age 46-54
Gender Male, 100%
Sad 94.2%
Calm 20%
Confused 3.1%
Fear 0.1%
Angry 0.1%
Surprised 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 24-32
Gender Female, 100%
Calm 53.9%
Angry 20.5%
Sad 10.4%
Confused 6.2%
Fear 0.4%
Disgusted 0.1%
Happy 0.1%
Surprised 0.1%

AWS Rekognition

Age 53-61
Gender Female, 99.9%
Calm 88.8%
Happy 1.7%
Fear 0.5%
Sad 0.4%
Angry 0.1%
Surprised 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 6-14
Gender Male, 59.7%
Sad 90%
Calm 39.8%
Confused 0.2%
Fear 0%
Happy 0%
Disgusted 0%
Angry 0%
Surprised 0%

AWS Rekognition

Age 54-62
Gender Female, 100%
Angry 56.9%
Sad 53.1%
Disgusted 2.4%
Calm 2.1%
Confused 0.4%
Fear 0%
Surprised 0%
Happy 0%

AWS Rekognition

Age 8-16
Gender Female, 90%
Calm 100%
Angry 0%
Sad 0%
Disgusted 0%
Fear 0%
Happy 0%
Confused 0%
Surprised 0%

AWS Rekognition

Age 9-17
Gender Female, 59.3%
Calm 99.2%
Confused 0.2%
Surprised 0.1%
Happy 0%
Angry 0%
Sad 0%
Fear 0%
Disgusted 0%

AWS Rekognition

Age 61-69
Gender Male, 90.6%
Sad 94.7%
Calm 19.1%
Fear 2%
Angry 0%
Confused 0%
Happy 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 26-34
Gender Male, 73.8%
Calm 79.1%
Sad 12.8%
Fear 0.5%
Happy 0%
Angry 0%
Disgusted 0%
Confused 0%
Surprised 0%

AWS Rekognition

Age 13-19
Gender Female, 99.8%
Sad 65.8%
Calm 47.9%
Angry 0.1%
Disgusted 0%
Fear 0%
Confused 0%
Surprised 0%
Happy 0%

AWS Rekognition

Age 63-71
Gender Female, 99.9%
Sad 71%
Calm 46.3%
Fear 0.2%
Angry 0%
Happy 0%
Confused 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 14-22
Gender Female, 98%
Calm 95.4%
Sad 1.4%
Confused 0.6%
Surprised 0.1%
Angry 0.1%
Fear 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 16-22
Gender Male, 86.4%
Sad 99.2%
Calm 2%
Angry 0.8%
Confused 0.1%
Fear 0.1%
Surprised 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 35-43
Gender Male, 99.9%
Sad 19.5%
Happy 19.2%
Calm 18.3%
Confused 0%
Fear 0%
Angry 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 22-30
Gender Female, 92.4%
Calm 95.6%
Angry 0.7%
Confused 0.7%
Sad 0.3%
Happy 0.1%
Surprised 0%
Fear 0%
Disgusted 0%

AWS Rekognition

Age 8-16
Gender Female, 98%
Calm 93.8%
Sad 2.6%
Angry 0.2%
Surprised 0.1%
Confused 0.1%
Happy 0.1%
Disgusted 0%
Fear 0%

AWS Rekognition

Age 40-48
Gender Male, 99.6%
Happy 85.4%
Calm 1.1%
Fear 0.3%
Surprised 0.1%
Sad 0%
Confused 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 51-59
Gender Female, 100%
Calm 91.2%
Confused 2.5%
Disgusted 1.4%
Sad 0.4%
Surprised 0.3%
Fear 0%
Happy 0%
Angry 0%

AWS Rekognition

Age 41-49
Gender Female, 72.1%
Sad 59.8%
Calm 46.9%
Fear 3.3%
Confused 1.2%
Angry 0.4%
Surprised 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 40-48
Gender Female, 100%
Calm 90.7%
Happy 1.5%
Sad 0.1%
Surprised 0%
Fear 0%
Confused 0%
Disgusted 0%
Angry 0%

AWS Rekognition

Age 49-57
Gender Female, 78.8%
Calm 48.8%
Sad 10.9%
Confused 8.6%
Happy 6.7%
Angry 6.3%
Surprised 1.5%
Disgusted 0.1%
Fear 0%

AWS Rekognition

Age 47-55
Gender Male, 98.8%
Calm 65.3%
Sad 16.1%
Fear 4.4%
Happy 0.4%
Angry 0.3%
Confused 0.2%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 19-27
Gender Female, 92.7%
Calm 99%
Sad 0.4%
Confused 0%
Fear 0%
Happy 0%
Angry 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 45-53
Gender Male, 94.1%
Sad 99.5%
Fear 1.1%
Calm 0.8%
Happy 0%
Confused 0%
Angry 0%
Disgusted 0%
Surprised 0%

AWS Rekognition

Age 23-31
Gender Female, 98.7%
Calm 92.1%
Happy 1.3%
Sad 0%
Angry 0%
Confused 0%
Surprised 0%
Fear 0%
Disgusted 0%

AWS Rekognition

Age 69-77
Gender Male, 97.7%
Calm 99.8%
Sad 0.1%
Confused 0%
Fear 0%
Surprised 0%
Angry 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 51-59
Gender Male, 98.4%
Surprised 60.7%
Fear 32.4%
Calm 13.5%
Angry 13%
Confused 6.8%
Sad 2.1%
Disgusted 0.8%
Happy 0%

AWS Rekognition

Age 30-38
Gender Female, 66.3%
Sad 92.3%
Calm 30.7%
Happy 0%
Confused 0%
Fear 0%
Angry 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 36-44
Gender Female, 98.9%
Sad 68.1%
Calm 47.2%
Happy 0%
Fear 0%
Angry 0%
Confused 0%
Surprised 0%
Disgusted 0%

AWS Rekognition

Age 52-60
Gender Male, 100%
Calm 83.9%
Sad 9.5%
Confused 0.2%
Surprised 0.2%
Happy 0%
Fear 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 19-27
Gender Male, 100%
Calm 100%
Sad 0%
Disgusted 0%
Fear 0%
Angry 0%
Happy 0%
Surprised 0%
Confused 0%

AWS Rekognition

Age 54-62
Gender Female, 99.4%
Happy 52.5%
Calm 14.9%
Sad 0.3%
Fear 0.2%
Angry 0.1%
Surprised 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 24-32
Gender Female, 99.9%
Calm 98.6%
Sad 0.6%
Surprised 0%
Happy 0%
Fear 0%
Confused 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 26-34
Gender Female, 64.4%
Calm 56.8%
Sad 16.6%
Disgusted 7.4%
Happy 2%
Surprised 1.8%
Angry 1%
Fear 1%
Confused 0.1%

AWS Rekognition

Age 16-22
Gender Female, 62.6%
Calm 60.1%
Sad 13.4%
Confused 7.4%
Fear 5%
Surprised 2.1%
Angry 0.2%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 18-22
Gender Female, 99.5%
Calm 98.6%
Surprised 0.6%
Sad 0.2%
Confused 0.1%
Angry 0%
Fear 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 51-59
Gender Male, 99.3%
Sad 99.3%
Calm 2.6%
Confused 0.1%
Fear 0%
Surprised 0%
Angry 0%
Disgusted 0%
Happy 0%

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 41
Gender Female

Microsoft Cognitive Services

Age 24
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 24
Gender Male

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 67
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Feature analysis

Amazon

Person
Adult
Bride
Female
Woman
Male
Man
Tie
Person 97.1%
Person 95.9%
Person 95.5%
Person 94.9%
Person 94.9%
Person 94.8%
Person 94.7%
Person 94.1%
Person 93.9%
Person 93.8%
Person 93%
Person 92.6%
Person 92.6%
Person 92.5%
Person 92.4%
Person 92.4%
Person 91.6%
Person 91.5%
Person 91.2%
Person 90.6%
Person 90.5%
Person 90.4%
Person 90.3%
Person 90.2%
Person 90%
Person 89.9%
Person 89.7%
Person 89.7%
Person 89.5%
Person 89.3%
Person 89.3%
Person 89.3%
Person 89.1%
Person 88.7%
Person 88.7%
Person 88.4%
Person 88.4%
Person 87.5%
Person 87.3%
Person 87.2%
Person 86.9%
Person 86.5%
Person 86%
Person 85.4%
Person 84.9%
Person 84.9%
Person 84.6%
Person 84%
Person 83.2%
Person 81.4%
Person 80.5%
Person 80.4%
Person 79.7%
Person 77.9%
Person 77%
Person 75.8%
Person 72.5%
Person 72.2%
Person 69.5%
Person 69.2%
Person 69.2%
Person 68.8%
Person 66.5%
Person 65.7%
Person 64.2%
Person 62.7%
Person 55.4%
Adult 95.9%
Adult 95.5%
Adult 90.2%
Adult 90%
Adult 84.9%
Bride 95.9%
Bride 95.5%
Bride 90%
Bride 84.9%
Female 95.9%
Female 95.5%
Female 90%
Female 84.9%
Woman 95.9%
Woman 95.5%
Woman 90%
Woman 84.9%
Male 90.2%
Man 90.2%
Tie 66%

Captions

Microsoft
created on 2024-06-03

a group of people in a room 46.7%

OpenAI GPT

Created by gpt-4o-2024-05-13 on 2025-01-02

This image depicts a vibrant and lively scene in what appears to be a large café or restaurant. Numerous individuals are sitting at various tables, enjoying food and beverages, reading newspapers, and engaging in conversation. The attire of the people suggests a setting from the early 20th century, with elegant dresses, hats, and suits being prominent. There is a sense of hustle and bustle, with waitstaff moving around serving patrons, and groups of people standing and interacting near the entrance area. The overall atmosphere is one of socialization and leisure amidst an artfully detailed and bustling environment.

Created by gpt-4 on 2024-12-03

This image is a piece of artwork depicting what appears to be a crowded, lively restaurant or café scene. Numerous figures are seated at tables, enjoying drinks, and conversations with each other. Some individuals are standing, possibly in conversation or waiting to be seated. To the right of the scene is a counter with what looks to be a display of bottles and potentially a cash register, suggesting this may be the area where patrons order or pay. There are also what seem to be waitstaff attending to the customers. In the background, there's a part of the setting that resembles a stage or some elevated platform, with individuals engaged in some activity, potentially a performance or speech. The background also features architectural elements like doors and an arched ceiling, enhancing the indoor setting of the scene. The painting exhibits a range of colors and a dynamic composition that conveys a sense of energy and social interaction. The figures are illustrated with varying degrees of detail and abstraction, adhering to an expressionistic or post-impressionistic style.

Anthropic Claude

Created by claude-3-5-sonnet-20241022 on 2024-12-28

This is a vibrant painting depicting a busy café or restaurant scene from what appears to be the 1920s or early 1930s. The artwork captures the lively atmosphere of the era, showing a crowded establishment filled with fashionable patrons in period attire - women in cloche hats and dropped-waist dresses, men in suits and fedoras. The scene is bustling with activity, with people dining, conversing, and socializing at various tables. The composition is packed with figures, creating a sense of energy and movement throughout the canvas. The color palette includes warm browns, greens, reds, and blues, with the interior architecture featuring arched doorways and columns. In the background, there appears to be restaurant staff, including what looks like a chef in traditional white attire. The painting effectively conveys the social atmosphere of the period, showing the intersection of dining, fashion, and urban social life during the Jazz Age. The style is somewhat reminiscent of German Expressionism or New Objectivity movements of the time, with its slightly angular figures and atmospheric quality. The painting provides a fascinating glimpse into the café culture and social life of the interwar period, capturing both the fashion and the spirit of the times.

Created by claude-3-haiku-20240307 on 2024-11-27

The image depicts a crowded, lively scene in what appears to be a cafe or restaurant setting. There are a large number of people present, dressed in a variety of fashions typical of the 1920s or 1930s era. The scene is filled with activity, with people seated at tables, interacting, and engaged in various tasks. The painting has a vibrant, colorful palette and a sense of energy and movement. Without identifying any specific individuals, the overall impression is of a bustling, social atmosphere capturing the spirit of that time period.

Amazon Nova

Created by amazon.nova-pro-v1:0 on 2025-01-04

The painting depicts a bustling scene in a restaurant with many people. The people are engaged in various activities, such as dining, reading, and socializing. Some are seated at tables, while others are standing and conversing. The setting appears to be a lively and vibrant atmosphere, with a mix of individuals from different backgrounds and social classes. The painting captures the energy and diversity of the restaurant scene, showcasing the interactions and relationships between the people present.

Created by amazon.nova-lite-v1:0 on 2025-01-04

The painting depicts a lively scene inside a restaurant, filled with people engaged in various activities. The setting appears to be a bustling social gathering, with many individuals seated at tables, engaged in conversation, and some standing around. The artist has captured the essence of a lively dining experience, with a sense of movement and interaction among the people. The overall atmosphere is one of sociability and enjoyment, with the people appearing to be in a festive mood.

Text analysis

Amazon

GE
I
DAMEN
METAGE GE
METAGE
area
All

Google

DAMER AN ETAGE+ GE Ache
DAMER
AN
ETAGE
+
GE
Ache