Human Generated Data

Title

Court Scene (Seigneuriale tapestry)

Date

1500-1510

People

Artist: Unidentified Artist,

Classification

Textile Arts

Credit Line

Harvard Art Museums/Fogg Museum, Bequest of Nettie G. Naumburg, 1930.207

Human Generated Data

Title

Court Scene (Seigneuriale tapestry)

People

Artist: Unidentified Artist,

Date

1500-1510

Classification

Textile Arts

Credit Line

Harvard Art Museums/Fogg Museum, Bequest of Nettie G. Naumburg, 1930.207

Machine Generated Data

Tags

Amazon
created on 2023-08-30

Accessories 100
Art 100
Ornament 100
Tapestry 100
Home Decor 100
Adult 98.1
Bride 98.1
Female 98.1
Person 98.1
Wedding 98.1
Woman 98.1
Adult 97.3
Bride 97.3
Female 97.3
Person 97.3
Woman 97.3
Painting 97.2
Adult 96.7
Bride 96.7
Female 96.7
Person 96.7
Woman 96.7
Adult 96.6
Bride 96.6
Female 96.6
Person 96.6
Woman 96.6
Person 96.6
Adult 96.1
Bride 96.1
Female 96.1
Person 96.1
Woman 96.1
Person 95.7
Person 95.4
Person 92.9
Adult 92.5
Bride 92.5
Female 92.5
Person 92.5
Woman 92.5
Person 92.3
Person 92.3
Person 91.2
Person 90.9
Person 87.9
Adult 86.8
Bride 86.8
Female 86.8
Person 86.8
Woman 86.8
Person 85.2
Person 82.2
Person 81.6
Person 81.5
Face 79.7
Head 79.7
Rug 79.5
Person 73.6
Person 72.4
Person 69.2
Person 58.6
Drawing 56.8

Clarifai
created on 2023-10-29

people 100
group 99.8
adult 99.5
print 99.3
art 98.7
veil 98.1
engraving 98.1
man 98.1
illustration 97.6
many 97.3
leader 95.9
monarch 95.4
administration 93.7
royalty 93.1
religion 92.6
facial hair 92.5
gown (clothing) 92
woman 91.5
wear 91.5
kneeling 90.4

Imagga
created on 2018-12-17

sketch 100
drawing 100
representation 95.5
art 34.3
history 28.6
ancient 28.5
old 24.4
architecture 24.2
sculpture 22.2
religion 21.5
culture 20.5
statue 20
temple 19.9
god 19.1
church 17.6
building 17.5
vintage 17.4
antique 16.6
historical 14.1
travel 14.1
money 13.6
landmark 13.5
decoration 13.1
retro 13.1
symbol 12.8
stone 12.8
paper 12.5
carving 12.5
design 12.4
famous 12.1
dollar 12.1
black 12
historic 11.9
currency 11.7
spirituality 11.5
detail 10.5
religious 10.3
monument 10.3
finance 10.1
banking 10.1
cash 10.1
ornate 10.1
city 10
marble 9.9
baroque 9.8
museum 9.7
style 9.6
decorative 9.2
letter 9.2
one 9
bank 9
artistic 8.7
us 8.7
holy 8.7
grunge 8.5
business 8.5
pattern 8.2
painting 8.1
wealth 8.1
icon 7.9
postmark 7.9
stamp 7.7
wall 7.7
medieval 7.7
loan 7.7
mail 7.7
horse 7.6
traditional 7.5
rich 7.4
tourism 7.4
gold 7.4
mosaic 7.3

Google
created on 2018-12-17

Microsoft
created on 2018-12-17

text 99.1
book 92.2
posing 85.5
old 78
black and white 71.7
black 71.7
person 61.1
art 45.5

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 34-42
Gender Male, 91%
Calm 45.9%
Happy 20.3%
Sad 13.1%
Fear 8.1%
Angry 7.6%
Surprised 7.6%
Confused 3.8%
Disgusted 1.5%

AWS Rekognition

Age 19-27
Gender Female, 99.2%
Happy 75.3%
Calm 10.7%
Fear 6.9%
Surprised 6.6%
Angry 4.3%
Confused 3.3%
Sad 3.1%
Disgusted 0.5%

AWS Rekognition

Age 16-24
Gender Male, 54.9%
Calm 51.7%
Confused 19.1%
Surprised 15.4%
Fear 7.4%
Angry 4.4%
Sad 3.5%
Happy 3.4%
Disgusted 2.5%

AWS Rekognition

Age 4-10
Gender Female, 99.6%
Calm 58.1%
Confused 16.3%
Surprised 8.2%
Happy 8.1%
Sad 6.8%
Fear 6.2%
Angry 2.6%
Disgusted 2.3%

AWS Rekognition

Age 34-42
Gender Female, 73.5%
Calm 94.4%
Surprised 6.3%
Fear 6%
Sad 3.7%
Angry 0.4%
Happy 0.4%
Disgusted 0.3%
Confused 0.1%

AWS Rekognition

Age 18-26
Gender Female, 99.4%
Calm 99%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Angry 0.2%
Confused 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 48-56
Gender Male, 99.4%
Calm 96.7%
Surprised 6.4%
Fear 6%
Sad 2.4%
Confused 0.9%
Angry 0.4%
Disgusted 0.3%
Happy 0.1%

AWS Rekognition

Age 2-10
Gender Male, 98.7%
Calm 89.5%
Fear 6.9%
Surprised 6.6%
Sad 4.1%
Angry 1.1%
Confused 0.6%
Happy 0.5%
Disgusted 0.4%

AWS Rekognition

Age 54-62
Gender Male, 87.6%
Calm 71.4%
Fear 12.9%
Surprised 10.8%
Happy 3.5%
Angry 3.3%
Sad 2.4%
Confused 0.6%
Disgusted 0.4%

AWS Rekognition

Age 48-54
Gender Male, 64%
Calm 56.9%
Fear 15%
Surprised 8.3%
Happy 7.8%
Confused 6.9%
Angry 5.5%
Sad 2.7%
Disgusted 2.1%

AWS Rekognition

Age 28-38
Gender Male, 94.3%
Calm 94.7%
Surprised 6.6%
Fear 6.2%
Sad 2.6%
Confused 1.2%
Angry 0.6%
Happy 0.5%
Disgusted 0.3%

AWS Rekognition

Age 18-26
Gender Female, 50.5%
Sad 99.8%
Calm 18.4%
Fear 10.4%
Surprised 6.7%
Angry 0.9%
Confused 0.5%
Happy 0.5%
Disgusted 0.4%

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Confused 80.5%
Calm 11.6%
Surprised 9.2%
Fear 6.2%
Sad 2.4%
Disgusted 0.7%
Angry 0.6%
Happy 0.3%

AWS Rekognition

Age 14-22
Gender Male, 99.8%
Fear 94.8%
Surprised 7.6%
Confused 6%
Sad 3.5%
Calm 1.4%
Happy 0.9%
Angry 0.7%
Disgusted 0.4%

AWS Rekognition

Age 22-30
Gender Female, 95.6%
Calm 48.7%
Happy 31.9%
Surprised 9.6%
Fear 6.5%
Angry 5.9%
Sad 3.2%
Disgusted 2.4%
Confused 1.3%

AWS Rekognition

Age 10-18
Gender Female, 99.3%
Calm 59%
Happy 14.8%
Fear 11%
Sad 10.2%
Surprised 7.2%
Angry 1.1%
Disgusted 0.9%
Confused 0.7%

Microsoft Cognitive Services

Age 58
Gender Female

Microsoft Cognitive Services

Age 8
Gender Female

Microsoft Cognitive Services

Age 68
Gender Female

Microsoft Cognitive Services

Age 69
Gender Female

Microsoft Cognitive Services

Age 57
Gender Female

Microsoft Cognitive Services

Age 43
Gender Female

Microsoft Cognitive Services

Age 31
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Possible
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Adult 98.1%
Bride 98.1%
Female 98.1%
Person 98.1%
Woman 98.1%

Categories

Text analysis

Amazon

$25