Human Generated Data

Title

Untitled (one photograph, Capt. Rowley; Sir Henry Ewart)

Date

1862-1888

People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.60

Human Generated Data

Title

Untitled (one photograph, Capt. Rowley; Sir Henry Ewart)

People

Artist: Mary Georgiana Caroline Cecil Filmer, British 1838-1903

Date

1862-1888

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.359.60

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Human 99.6
Person 99.6
Person 99.5
Door 87.7
Advertisement 82.7
Poster 82.7
Furniture 71.7
Apparel 71.1
Clothing 71.1
Flooring 67.8
Shoe 67
Footwear 67
Military 55.8
Military Uniform 55.8

Clarifai
created on 2018-04-19

people 99.9
adult 98.9
painting 97.1
man 96.9
wear 96
group 94.8
two 94.5
administration 94
art 92.4
woman 91.4
one 91.3
portrait 90.2
military 88.6
indoors 87.7
leader 86.4
print 85.4
room 85.3
three 85.3
furniture 84.1
child 81.8

Imagga
created on 2023-10-30

wall 24.9
old 23.7
grunge 20.4
decoration 16.2
graffito 15.2
texture 14.6
building 14.6
dirty 14.4
vintage 14
ancient 13.8
window 13.6
device 12.5
city 12.5
door 12.4
frame 11.9
architecture 11.7
house 11.7
retro 11.5
textured 11.4
antique 11.3
art 11.1
person 11.1
street 11
aged 10.8
design 10.2
stone 10.1
historic 10.1
portrait 9.7
ballplayer 9.2
structure 9.2
travel 9.1
black 9.1
tourism 9.1
paint 9
prison 8.9
posing 8.9
brown 8.8
man 8.7
empty 8.6
grungy 8.5
fashion 8.3
pattern 8.2
rough 8.2
player 8.1
history 8
athlete 8
light 8
home 8
locker 7.9
paper 7.9
urban 7.9
fastener 7.8
model 7.8
concrete 7.7
elegance 7.5
historical 7.5
shop 7.4
sensuality 7.3
people 7.2
sexy 7.2
correctional institution 7.2
male 7.1

Google
created on 2018-04-19

Microsoft
created on 2018-04-19

building 99.2
man 92.4
old 71.3
black 68.2

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Happy 45%
Calm 53.2%
Angry 45.4%
Sad 46.1%
Confused 45.2%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 27-44
Gender Male, 54.9%
Disgusted 45%
Surprised 45%
Angry 45.1%
Confused 45.2%
Calm 53.9%
Sad 45.7%
Happy 45%

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 34
Gender Male

Google Vision

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

Feature analysis

Amazon

Person 99.6%
Poster 82.7%
Shoe 67%

Categories

Imagga

interior objects 97.7%

Text analysis

Amazon

Rowliy
i
Wems
Cutk Rowliy i Wems Lvar
Lvar
Cutk