Human Generated Data

Title

Adoration of the Magi

Date

c. 1600

People

Artist: Jacopo Tintoretto, Italian 1519 - 1594

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Radcliffe College, Gift of Mrs. Cornelius Conway Felton, 1966.75

Human Generated Data

Title

Adoration of the Magi

People

Artist: Jacopo Tintoretto, Italian 1519 - 1594

Date

c. 1600

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Radcliffe College, Gift of Mrs. Cornelius Conway Felton, 1966.75

Machine Generated Data

Tags

Amazon
created on 2023-08-30

Art 100
Painting 100
Adult 96.6
Bride 96.6
Female 96.6
Person 96.6
Wedding 96.6
Woman 96.6
Adult 96.4
Person 96.4
Male 96.4
Man 96.4
Person 95.5
Person 93.3
Adult 93.1
Bride 93.1
Female 93.1
Person 93.1
Woman 93.1
Person 87.6
Person 86.2
Face 85.8
Head 85.8
Person 85.3
Person 83.1
Person 82.6
Person 81.3
Person 81.2
Person 80.6
Person 79.6
Person 79.3
Person 78.7
Person 77.2
Animal 76.8
Horse 76.8
Mammal 76.8
Person 71.5
Person 68.9
Person 68
Person 65
Archaeology 55

Clarifai
created on 2023-11-01

people 99.9
group 99.4
adult 98.6
art 98.1
many 97.3
man 96.3
illustration 96.3
cavalry 95.7
mammal 94.1
print 93.6
war 92.7
skirmish 91.7
soldier 91.3
woman 90.6
painting 90.6
vehicle 89.7
interaction 88.9
military 86
child 85.5
transportation system 84.7

Imagga
created on 2018-12-21

blackboard 100
freight car 32.8
art 25.4
grunge 24.7
car 24.4
old 24.4
graffito 22.5
decoration 22
wheeled vehicle 19.8
vintage 18.2
texture 18.1
design 15.8
wall 15.4
pattern 15
retro 14.7
antique 14.7
aged 14.5
ancient 13.8
paint 12.7
architecture 12.5
vehicle 12.4
dirty 11.7
detail 11.3
grungy 10.4
black 10.2
dark 10
building 9.8
text 9.6
canvas 9.5
symbol 9.4
paper 9.4
decorative 9.2
history 8.9
artistic 8.7
wallpaper 8.4
frame 8.3
artwork 8.2
technology 8.2
border 8.1
digital 8.1
religion 8.1
graphic 8
light 8
creative 7.9
textured 7.9
sculpture 7.6
finance 7.6
style 7.4
letter 7.3
business 7.3
world 7.2

Google
created on 2018-12-21

Microsoft
created on 2018-12-21

text 99.8
book 98.2
old 90
horse 57.9
group 57.9
crowd 53.4
black and white 50.5
music 39.5
person 36.7
show 30.5
child 29.2

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 21-29
Gender Female, 99.7%
Calm 71%
Surprised 13.3%
Confused 8.1%
Fear 6.5%
Happy 3.6%
Sad 2.9%
Disgusted 2.2%
Angry 1.9%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Disgusted 62.5%
Surprised 9.6%
Angry 9.2%
Calm 9.1%
Sad 8%
Fear 6.4%
Confused 2.1%
Happy 0.8%

AWS Rekognition

Age 19-27
Gender Male, 63.1%
Calm 62.8%
Surprised 23.3%
Fear 7%
Confused 6.5%
Happy 5.2%
Sad 2.8%
Angry 1.7%
Disgusted 1.6%

AWS Rekognition

Age 23-31
Gender Female, 99.8%
Calm 60.7%
Sad 24%
Happy 15%
Surprised 6.9%
Fear 6.2%
Confused 1.9%
Disgusted 0.9%
Angry 0.8%

AWS Rekognition

Age 22-30
Gender Male, 99.7%
Calm 66.4%
Confused 15.8%
Sad 11.2%
Surprised 6.9%
Fear 6.2%
Angry 2.1%
Disgusted 0.7%
Happy 0.6%

AWS Rekognition

Age 18-26
Gender Male, 88.5%
Calm 97.7%
Surprised 6.4%
Fear 5.9%
Sad 2.4%
Confused 0.6%
Disgusted 0.2%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 34-42
Gender Male, 86.3%
Calm 49.1%
Sad 30.3%
Confused 10.2%
Angry 9.7%
Surprised 8.6%
Fear 6.3%
Disgusted 3.6%
Happy 1.6%

AWS Rekognition

Age 20-28
Gender Male, 56.1%
Calm 94.6%
Surprised 6.6%
Fear 5.9%
Sad 3.2%
Happy 0.7%
Disgusted 0.4%
Confused 0.3%
Angry 0.3%

AWS Rekognition

Age 22-30
Gender Female, 71.4%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Angry 0%
Disgusted 0%
Happy 0%
Confused 0%

AWS Rekognition

Age 22-30
Gender Female, 94.2%
Calm 80%
Happy 15.4%
Surprised 6.8%
Fear 5.9%
Sad 2.3%
Confused 2.2%
Angry 0.6%
Disgusted 0.2%

AWS Rekognition

Age 18-26
Gender Female, 91.3%
Calm 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0.1%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 11-19
Gender Male, 66%
Calm 87.1%
Surprised 6.7%
Fear 6.1%
Disgusted 4.4%
Happy 3.7%
Sad 2.8%
Confused 0.9%
Angry 0.7%

AWS Rekognition

Age 20-28
Gender Female, 99.3%
Sad 99%
Calm 21.7%
Disgusted 7.9%
Fear 7.3%
Surprised 7.1%
Confused 2.5%
Angry 2.2%
Happy 1.7%

AWS Rekognition

Age 26-36
Gender Male, 96.6%
Calm 53.7%
Angry 13.5%
Confused 11.9%
Sad 8%
Surprised 7.1%
Fear 6.2%
Disgusted 5.9%
Happy 2.9%

AWS Rekognition

Age 20-28
Gender Female, 85.8%
Sad 69.8%
Calm 47.6%
Confused 10.1%
Surprised 7.2%
Fear 6.6%
Disgusted 2.7%
Angry 2.4%
Happy 1.2%

AWS Rekognition

Age 29-39
Gender Male, 99.3%
Calm 69.6%
Happy 27.1%
Surprised 6.4%
Fear 6%
Sad 2.5%
Angry 0.5%
Confused 0.5%
Disgusted 0.5%

AWS Rekognition

Age 22-30
Gender Male, 92.7%
Calm 92.4%
Surprised 7.1%
Fear 6.3%
Sad 3%
Confused 1%
Happy 0.8%
Disgusted 0.5%
Angry 0.3%

AWS Rekognition

Age 23-33
Gender Female, 50.3%
Happy 57.2%
Confused 14.5%
Calm 11.2%
Surprised 7.9%
Fear 6.7%
Sad 6.2%
Disgusted 2.8%
Angry 1.5%

AWS Rekognition

Age 23-31
Gender Male, 73.7%
Calm 97.1%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Happy 1%
Confused 0.8%
Disgusted 0.4%
Angry 0.2%

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 23
Gender Female

Google Vision

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

Feature analysis

Amazon

Adult 96.6%
Bride 96.6%
Female 96.6%
Person 96.6%
Woman 96.6%
Male 96.4%
Man 96.4%
Horse 76.8%