Human Generated Data

Title

Untitled (eleven photographs top row, left to right, Mrs. Poole; Lady Emily Dyke(?); Miss Creighton(?); Miss (?); center row left to right, Viscount Holmesdale; Lord A. Gower; Col. Hawkes(?); Mr. Dyke (photo missing); Mrs. Buckeley; Viscount MacDuff; C. Porter(?), Esq.; Countess of Bective; verso: two views of the river between Maidenhead and Cliveden, dated 1871)

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, P1982.359.83

Human Generated Data

Title

Untitled (eleven photographs top row, left to right, Mrs. Poole; Lady Emily Dyke(?); Miss Creighton(?); Miss (?); center row left to right, Viscount Holmesdale; Lord A. Gower; Col. Hawkes(?); Mr. Dyke (photo missing); Mrs. Buckeley; Viscount MacDuff; C. Porter(?), Esq.; Countess of Bective; verso: two views of the river between Maidenhead and Cliveden, dated 1871)

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, P1982.359.83

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Advertisement 99.6
Collage 99.6
Poster 99.6
Human 98.3
Person 98.3
Person 98.1
Person 97.1
Person 95.9
Person 95.2
Art 90.8
Person 86.8
Person 86.6
Person 81.9
Person 77.6
Person 73.6
Person 70.9
Horse 69.5
Mammal 69.5
Animal 69.5
Painting 64.7
Text 60
Furniture 57.8

Clarifai
created on 2018-04-19

people 100
print 99.7
group 99.7
illustration 99.3
adult 98.3
art 98.3
man 97.3
many 97.2
leader 94.9
woman 93.2
one 92.1
wear 91.3
lithograph 91.2
painting 89.8
portrait 89.3
woodcut 87.1
engraving 86.2
book bindings 86
antique 83.4
military 82.6

Imagga
created on 2018-04-19

vintage 35
old 34.8
bookmark 31.1
antique 27.9
paper 25.8
grunge 24.7
texture 23.6
art 23.2
retro 22.9
ancient 20.7
frame 19.1
aged 19
drawing 16.9
case 15.4
design 14.9
book 14.9
page 13.9
sketch 13.5
door 12.9
blank 12.8
letter 12.8
dirty 12.6
religion 12.5
decoration 12.3
wallpaper 12.2
stamp 12
wall 12
historic 11.9
brown 11.8
ornament 11.2
floral 11
architecture 10.9
decorative 10.8
symbol 10.8
material 10.7
parchment 10.5
artistic 10.4
artwork 10.1
traditional 10
gold 9.9
fastener 9.7
covering 9.7
rustic 9.6
pattern 9.6
worn 9.5
rough 9.1
history 8.9
detail 8.8
postage 8.8
locker 8.7
mail 8.6
yellow 8.6
golden 8.6
empty 8.6
post 8.6
culture 8.5
grungy 8.5
book jacket 8.5
flower 8.4
church 8.3
backdrop 8.2
card 7.9
holiday 7.9
furniture 7.8
manuscript 7.8
ragged 7.8
stained 7.7
jacket 7.6
sheet 7.5
religious 7.5
document 7.4
style 7.4
note 7.3
ornate 7.3
cash 7.3
graphic 7.3
building 7.2
device 7.2
paint 7.2
collection 7.2
currency 7.2
celebration 7.2
representation 7.2

Google
created on 2018-04-19

Microsoft
created on 2018-04-19

text 99.9
different 95.9
book 95.4
various 79.1
bunch 78.8
posing 49.6
several 38.2
variety 10.2

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Male, 99.3%
Disgusted 0.3%
Confused 0.9%
Surprised 0.5%
Sad 0.4%
Angry 0.5%
Happy 0.3%
Calm 97.1%

AWS Rekognition

Age 26-43
Gender Male, 51.6%
Confused 45.2%
Disgusted 45%
Surprised 45.1%
Calm 52.8%
Happy 45%
Sad 46.4%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Male, 53.7%
Surprised 45.5%
Confused 45.4%
Sad 45.8%
Angry 45.4%
Calm 52.7%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Female, 53.8%
Happy 45.1%
Sad 52.7%
Angry 46%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Calm 45.9%

AWS Rekognition

Age 26-43
Gender Male, 51.7%
Disgusted 45.1%
Confused 45.1%
Surprised 45.2%
Sad 45.6%
Angry 45.2%
Happy 45%
Calm 53.8%

AWS Rekognition

Age 35-52
Gender Male, 97.2%
Calm 88.1%
Sad 1.7%
Confused 2.3%
Disgusted 0.7%
Happy 0.4%
Angry 1.5%
Surprised 5.3%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Sad 49.9%
Calm 48.4%
Angry 45.4%
Surprised 45.3%
Happy 45.5%
Confused 45.2%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Calm 50.1%
Angry 49.6%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.4%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.8%
Angry 50%
Happy 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.4%
Calm 49.7%
Angry 49.7%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%
Confused 49.7%
Sad 49.8%

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 42
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 50
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 98.3%
Horse 69.5%
Painting 64.7%

Categories

Imagga

Text analysis

Amazon

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